B05740508

I

IOSR Journal of Engineering (IOSR-JEN) Volume 5 Issue 7 Version 4

IOSR Journal of Engineering (IOSRJEN) www.iosrjen.org
ISSN (e): 2250-3021, ISSN (p): 2278-8719
Vol. 05, Issue 07 (July. 2015), ||V4|| PP 05-08
International organization of Scientific Research 5 | P a g e
Yingtai Area in Songliao Basin as the Main Layer Tight Oil
"Dessert" Reservoir Prediction
Lin Zhu1
, Kai Shao1
,Yuxi Cui 1
Northeast Petroleum University, Daqing, Heilongjiang, China, 163318
Abstract: -Tight oil as one of unconventional oil and gas resources are widely distributed, great potential. In
recent years, with the development of shale gas and the volume of fracturing horizontal well technology, dense
oil and gas has the potential to succeed in the areas of energy exploration and development has become
increasingly active, is developing rapidly. The main layer "dessert" predict played a crucial role again when the
reservoir development deployment position, aiming Songliao Basin Yingtai area as an example, from seismic
attribute analysis are based on a study combining geostatistical inversion.
Keywords: Tight oil; Songliao Basin; Geostatistical inversion; Phase shift process;
I. INTRODUCTION
Unconventional oil and gas resources in the northern part of Songliao Basin, especially tight oil
resources in a huge amount, including Gaotaizi oil source within the tight oil, shale oil and some green Fuyang
reservoir permeability less than the next source 2mD. In line with the oil 2014--2015 annual Changyuan
periphery Fuyu oil and Heidimiao raise productivity of horizontal wells, reserves upgrade research study,
implementation of control reserves for Fuyu oil source 7 Zhaoyuan area well area, expand the "sweet spot"
Reservoir forecasting, aiming English Taiwan English well region 86 Heidimiao stable mouth bar sand bodies
have taken the seismic attribute analysis processing based on a phase shift-based techniques, the use of
geostatistical inversion accurately portray the estuary flat bar sand distribution, and ultimately complete the
main floor, "dessert" forecast.
II. REGIONAL OVERVIEW
Yingtai area is located in Zhaoyuan County, Heilongjiang Province and Duerbote County territory, the
main located Qijia - Gulong sag, North England region 36 wells, reservoirs and Bayanchagan phase, southwest
of the Nen River Valley world, east and Puxi, Xinzhao new station adjacent fields, the region has been the Nen
River from the northwest to east Nanliu, low-lying, blisters, canals, dams distribution. Ground elevation
between 126.99 ~ 155.0m.
Located on tectonic zone central depression of the northern Songliao Basin Qijia - Gulong Depression
southern end of the main targets for the Putaohua oil exploration, oil and Saertu Heidimiao. Information about
area 450.0km2 dimensional work area, this research work is mainly for the British Ministry of the well region
86 Heidimiao Sec deploy assessing control wells, the purpose is through the block of seismic geological
research, evaluation of horizontal wells and infrastructure development, the focus on "dessert reservoir"
prediction method to obtain a high sandstone and oil drilling rate and enhance individual well production.
III. RESERVOIR " DESSERT " RESERVOIR PREDICTION
Horizontal wells will focus on aspects of the deployment of a "sweet spot" reservoir prediction,
horizontal wells in reservoir development only deployed position, in order to obtain a high sandstone and oil
drilling rate and enhance individual well production.
3.1 seismic attribute analysis
Based on lithology, electrical characteristics were carried out against Heidimiao for HII2 oil group
attribute analysis, the corresponding strata were studied slice properties, phase shift processing data volume,
relative wave impedance characteristics, micro seismic facies waveform clustering qualitative group of Black
HII2 favorable reservoir sand body position.
3.1.1 Heidimiao strata slice attribute analysis
Seismic data commonly used technologies include horizontal slice slice, slice along the layer formation
information reflected in two different sections. Also known as time slicing slice level, it reflects the same
geological characteristics of the ground time domain isochronous surface, can show abnormal seismic attribute
Yingtai area in Songliao Basin as the main layer tight oil "dessert" reservoir prediction
International organization of Scientific Research 6 | P a g e
spatial distribution, determine the direction of extension of the deposition system, which applies to sheeted and
supine formation, so as to The seismic attributes and other information with the horizontal plane parallel to the
deposition system contains extracted. Horizon slice refers to the purpose of the layers along the surface of the
slice, known as seismic sections along the floor, it is not only adapt, but not prostrate mat-like formation, but
also to adapt to fluctuating formations, especially to reflect more accurately inclined strata geological
characteristics and changes of sedimentary reservoirs. Slicing through the layer can show the ups and downs
along the inclined anomalies and seismic attribute spatial distribution, determine the direction of extension of
the deposition system, it is for the inclined plane parallel to the depositional system in order to ensure that when
the extracted seismic attribute information, etc., for the inclined plane not parallel deposition system, his
presence in the layer time slicing through the phenomenon of change information within the sedimentary system
under seismic attribute information extraction and other frameworks do not reflect lithology.
3.1.2 Phase shift process
Bandwidth seismic waves directly affects the level of resolution, to ensure no loss of low-frequency
component of the premise, the resolution was a positive relationship with the bandwidth, zero-phase wavelet
highest resolution. Seismic data processing seismic wavelet is often assumed that the minimum phase wavelet,
minimum phase asymmetric waveform, and the sub-Bourbon lobe longer, can not simply take advantage of the
peaks and layer interface or correspondence between the layers. Therefore, before seismic interpretation, to be
converted into a minimum-phase wavelet zero-phase wavelets. For thin, especially thin interbedded geologic
conditions, even if they can obtain a zero phase wavelet, still have to face the top of the formation, the end of the
interface question reflection indistinguishable, so to improve the thin, thin interbedded interpretation accuracy,
but alsoWe must rely on well constrained geological knowledge and data. In general, the results of seismic data
processing phase existing data volume is essentially zero phase is not, therefore, in practice, the need to
determine the polarity and phase angle seismic data, seismic data, based on the original by turning the
corresponding phase angle, so that the purpose of the seismic data interval phase angle approaching 90 °, more
suitable for the direct application of thin reservoir prediction of seismic information.
3.2 Seismic inversion
3.2.1 Sandstone quantitative prediction method
Sandstone quantitative forecasting methods currently used in the well - seismic impedance inversion
based, multi-well constrained inversion to logging data-rich high-frequency information and a complete
complement to the low-frequency components of seismic limited bandwidth, access high-resolution formation
impedance and various logs Association simulation data volume. It provides initial exploration into the
development phase of the corresponding inversion method: recursive inversion, constrained sparse pulse
inversion, stochastic simulation and stochastic seismic inversion and reservoir characteristics of the integrated
inversion. Wherein the geostatistical inversion using seismic data, logging data, and establish a high-resolution
geological modeling or pattern matching to get the main component of the reservoir model, is a model-based
inversion method, focusing on the thin and fine prediction reservoir description. The principle is: seismic data
volume for each channel can be represented in a linear combination of a few of its neighbor, which reflects the
relationship between the coefficient matrix of this linear combination, reflects the subsurface variation from one
point to another point. And this law is unique, it will be applied to log data body, get well logging constrained
seismic inversion. Closely integrated with the seismic data, the two mutual restraint, in time, establish the
correct time-depth relationships through sonic depth of field on the curve, and thus the entire seismic data for
various logging curve.
3.2.2 Forecasting process and quality control
First, a variety of data loading, including seismic data, interpret the data, well log, hierarchical data,
etc., and various well region of the curve, each year, different instruments obtained was normalized; secondly
extracting wavelet, making synthetic records, repeatedly adjust wavelets, so that the resulting synthetic
seismogram and seismic traces the well reaches the maximum correlation, thus establishing the initial model.
Then inversion according to the model, the study area Heidimiao HⅡ2 small layer of sand low GR, significantly
high resistance characteristics, based on geostatistical impedance inversion on feature GR and resistivity curve
random co-simulation, multiple attribute comprehensive prediction sand body distribution; Finally, based on the
inversion data volume, by logging data analysis to determine the purpose of sand and shale layer threshold
values and calculation purposes sandstone thickness and effective thickness, and finally the plane of FIG.
Yingtai area in Songliao Basin as the main layer tight oil "dessert" reservoir prediction
International organization of Scientific Research 7 | P a g e
3.3 Geostatistical Inversion
Geostatistical method steps are as follows: 1) analysis of the variogram data; 2) find the relationship
between seismic and log data to find the variation between the correlation analysis; 3) the use of the known data
analysis to determine the law to get the space distribution of the control points. Commonly used tool is the
Kriging method.
Picture 1 petrophysical analysis
From geological point of view, the Spatial characteristics of the reservoir space geometry, material
properties and other parameters are in effect under the law of a series of geological origin of the formation.
Picture 1 is a well region 86 British Heidimiao impedance curve and lithology analysis histogram intersection of
gamma ray and resistivity analysis diagram, of which only divided the sandstone and mudstone are two, we can
see that the impedance curve of sand and shale It has some ability to distinguish between the impedance value of
less than 6800 grams per cubic centimeter is mudstone, greater than 6800 grams per cubic centimeter is
sandstone, but can also be found in the use of impedance lithology distinguish, in histogram lithology overlap
region remains to distinguish the effect be affected.
Through the above process, we can build low-impedance model Figure 5-2-19 even Inami impedance
model can be seen in the initial model is reasonable, and there is no obvious outliers, and finally through the
congruency map and seismic inversion can ability to distinguish thin geostatistical inversion seen stronger,
higher accuracy (Picture 2).
Picture 2 Well even low-impedance model
IV. CONCLUSION
(I) Yingtai area Heidimiao sandstone thickness small, lateral heterogeneity is strong, well-seismic joint using
geostatistical inversion as the core technology to quantitatively predict sandstone, the main purpose is to
accurately identify the main Heidimiao HII2 the spatial distribution of sand, and finally through the congruency
map and seismic inversion can be seen in the ability to distinguish thin geostatistical inversion stronger, higher
accuracy.
(II) It does this by obtaining a static data and dynamic data have been combined, were the main layer " dessert"
identification guide the regional deployment of new wells, strengthening of the recovery and improve the
reservoir prediction accuracy to achieve the effective development of tight oil in Songliao basin.
Yingtai area in Songliao Basin as the main layer tight oil "dessert" reservoir prediction
International organization of Scientific Research 8 | P a g e
REFERENCES
[1] Stephen A. Sonnenberg, Aris Pramudito. Petroleum geology of the giant ElmCoulee field,W illiston
Basin. AAPG Bulletin, v.93, no. 9 (September 2009), pp. 1127~1153.
[2] Mackey,S.D.and Bridge,J.S.Three-dimensional model of alluvial stratigraphy:theory and
application.Journal of Sedimentary Research,1995,B65(1):7~31.
[3] Clavier C, Coates G, Dumanoir J. The theoretical and experimental bases for the “dual water” model for
interpretation of shaly sands. SPE 6859, 1977. 1—27.
[4] Clavier C, Coates G, Dumanoir J. The theoretical and experimental bases for the dual-water model for
interpretation of shaly sands. SPEJ, 1984, 24(2): 153—168
[5] Cander H.What is unconventional resources[R]. Long Beach,California:AAPG Annual Convention
and Exhibition,2012.
[6] GarberM.China:nearly half reserves are in marginal reservoirs[N].18WPC News of WPC,2005,78~89

Recomendados

International Journal of Engineering Research and Development von
International Journal of Engineering Research and DevelopmentInternational Journal of Engineering Research and Development
International Journal of Engineering Research and DevelopmentIJERD Editor
254 views7 Folien
E05833135 von
E05833135E05833135
E05833135IOSR-JEN
233 views5 Folien
Delineation of Hydrocarbon Bearing Reservoirs from Surface Seismic and Well L... von
Delineation of Hydrocarbon Bearing Reservoirs from Surface Seismic and Well L...Delineation of Hydrocarbon Bearing Reservoirs from Surface Seismic and Well L...
Delineation of Hydrocarbon Bearing Reservoirs from Surface Seismic and Well L...IOSR Journals
529 views5 Folien
Artificial Recharge to Alluvial Aquifer, Northeastern Nuba Mountains, Sudan. von
Artificial Recharge to Alluvial Aquifer, Northeastern Nuba Mountains, Sudan.Artificial Recharge to Alluvial Aquifer, Northeastern Nuba Mountains, Sudan.
Artificial Recharge to Alluvial Aquifer, Northeastern Nuba Mountains, Sudan.IJRES Journal
362 views5 Folien
basin stratigraphic analysis of Tanga,Ruvu and mandawa basin in Tanzania von
basin stratigraphic analysis of Tanga,Ruvu and mandawa basin in Tanzaniabasin stratigraphic analysis of Tanga,Ruvu and mandawa basin in Tanzania
basin stratigraphic analysis of Tanga,Ruvu and mandawa basin in TanzaniaEvèñ Vìvø Edúärð
5.1K views31 Folien
Mp gw applying aquifer modification techniques like hydrofraking, bore blast... von
Mp gw  applying aquifer modification techniques like hydrofraking, bore blast...Mp gw  applying aquifer modification techniques like hydrofraking, bore blast...
Mp gw applying aquifer modification techniques like hydrofraking, bore blast...hydrologywebsite1
779 views94 Folien

Más contenido relacionado

Was ist angesagt?

TOTAL EARTH SOLUTIONS - PETROLEUM EXPLORATION SERVICES von
TOTAL EARTH SOLUTIONS - PETROLEUM EXPLORATION SERVICESTOTAL EARTH SOLUTIONS - PETROLEUM EXPLORATION SERVICES
TOTAL EARTH SOLUTIONS - PETROLEUM EXPLORATION SERVICESBrett Johnson
778 views56 Folien
A Methodology to Assess the Potential Impacts of Longwall Mining on Streams i... von
A Methodology to Assess the Potential Impacts of Longwall Mining on Streams i...A Methodology to Assess the Potential Impacts of Longwall Mining on Streams i...
A Methodology to Assess the Potential Impacts of Longwall Mining on Streams i...Appalachian Research Initiative for Environmental Science
343 views24 Folien
Morphometry and Hydrology relationship in Lidder valley von
Morphometry and Hydrology relationship in Lidder valleyMorphometry and Hydrology relationship in Lidder valley
Morphometry and Hydrology relationship in Lidder valleyShakil Romshoo
1.3K views14 Folien
Mineral potential mapping as a strategic planning tool in the eastern Lachlan... von
Mineral potential mapping as a strategic planning tool in the eastern Lachlan...Mineral potential mapping as a strategic planning tool in the eastern Lachlan...
Mineral potential mapping as a strategic planning tool in the eastern Lachlan...Kenex Ltd
383 views28 Folien
Mineral potential mapping in Bundarra, Queensland von
Mineral potential mapping in Bundarra, QueenslandMineral potential mapping in Bundarra, Queensland
Mineral potential mapping in Bundarra, QueenslandKenex Ltd
268 views15 Folien
Mineral Potential Mapping for Pre-Competitive Data Delivery in NSW Zone 54 von
Mineral Potential Mapping for Pre-Competitive Data Delivery in NSW Zone 54Mineral Potential Mapping for Pre-Competitive Data Delivery in NSW Zone 54
Mineral Potential Mapping for Pre-Competitive Data Delivery in NSW Zone 54Kenex Ltd
419 views15 Folien

Was ist angesagt?(20)

TOTAL EARTH SOLUTIONS - PETROLEUM EXPLORATION SERVICES von Brett Johnson
TOTAL EARTH SOLUTIONS - PETROLEUM EXPLORATION SERVICESTOTAL EARTH SOLUTIONS - PETROLEUM EXPLORATION SERVICES
TOTAL EARTH SOLUTIONS - PETROLEUM EXPLORATION SERVICES
Brett Johnson778 views
Morphometry and Hydrology relationship in Lidder valley von Shakil Romshoo
Morphometry and Hydrology relationship in Lidder valleyMorphometry and Hydrology relationship in Lidder valley
Morphometry and Hydrology relationship in Lidder valley
Shakil Romshoo1.3K views
Mineral potential mapping as a strategic planning tool in the eastern Lachlan... von Kenex Ltd
Mineral potential mapping as a strategic planning tool in the eastern Lachlan...Mineral potential mapping as a strategic planning tool in the eastern Lachlan...
Mineral potential mapping as a strategic planning tool in the eastern Lachlan...
Kenex Ltd383 views
Mineral potential mapping in Bundarra, Queensland von Kenex Ltd
Mineral potential mapping in Bundarra, QueenslandMineral potential mapping in Bundarra, Queensland
Mineral potential mapping in Bundarra, Queensland
Kenex Ltd268 views
Mineral Potential Mapping for Pre-Competitive Data Delivery in NSW Zone 54 von Kenex Ltd
Mineral Potential Mapping for Pre-Competitive Data Delivery in NSW Zone 54Mineral Potential Mapping for Pre-Competitive Data Delivery in NSW Zone 54
Mineral Potential Mapping for Pre-Competitive Data Delivery in NSW Zone 54
Kenex Ltd419 views
Sanduskywatershedwetlandfunctionassessment3 26-2014final von santina_1
Sanduskywatershedwetlandfunctionassessment3 26-2014finalSanduskywatershedwetlandfunctionassessment3 26-2014final
Sanduskywatershedwetlandfunctionassessment3 26-2014final
santina_1389 views
Nakamura Technique for Soil Characterization von Ali Osman Öncel
Nakamura Technique for Soil CharacterizationNakamura Technique for Soil Characterization
Nakamura Technique for Soil Characterization
Ali Osman Öncel260 views
The Bundarra project case study von Kenex Ltd
The Bundarra project case studyThe Bundarra project case study
The Bundarra project case study
Kenex Ltd1.4K views
The Tampia Hill case study von Kenex Ltd
The Tampia Hill case studyThe Tampia Hill case study
The Tampia Hill case study
Kenex Ltd204 views
Application of Satellite Geodesy in Environmental and Climate Changes von Alok Verma
Application of Satellite Geodesy in Environmental and Climate ChangesApplication of Satellite Geodesy in Environmental and Climate Changes
Application of Satellite Geodesy in Environmental and Climate Changes
Alok Verma347 views
TOTAL EARTH SOLUTIONS OIL AND GAS SERVICES von Brett Johnson
TOTAL EARTH SOLUTIONS OIL AND GAS SERVICESTOTAL EARTH SOLUTIONS OIL AND GAS SERVICES
TOTAL EARTH SOLUTIONS OIL AND GAS SERVICES
Brett Johnson1.1K views
The Impact of Seismic Facies Analysis on the Reservoir Architecture of “CHARL... von IJSRED
The Impact of Seismic Facies Analysis on the Reservoir Architecture of “CHARL...The Impact of Seismic Facies Analysis on the Reservoir Architecture of “CHARL...
The Impact of Seismic Facies Analysis on the Reservoir Architecture of “CHARL...
IJSRED15 views
SWOT_Fu_2011_IGARSS.ppt von grssieee
SWOT_Fu_2011_IGARSS.pptSWOT_Fu_2011_IGARSS.ppt
SWOT_Fu_2011_IGARSS.ppt
grssieee301 views
The use of LiDAR in rehabilitation performance and landform stability monitor... von Celine Mangan
The use of LiDAR in rehabilitation performance and landform stability monitor...The use of LiDAR in rehabilitation performance and landform stability monitor...
The use of LiDAR in rehabilitation performance and landform stability monitor...
Celine Mangan299 views
Structural interpretation of abakiliki – ugep, using von Alexander Decker
Structural interpretation of abakiliki – ugep, usingStructural interpretation of abakiliki – ugep, using
Structural interpretation of abakiliki – ugep, using
Alexander Decker1.8K views

Destacado

How to Identify Limiting Beliefts? von
How to Identify Limiting Beliefts?How to Identify Limiting Beliefts?
How to Identify Limiting Beliefts?The Chrysallis
1.5K views19 Folien
Pearl academy pg general profficiency test 2010 von
Pearl academy pg general profficiency test 2010Pearl academy pg general profficiency test 2010
Pearl academy pg general profficiency test 2010Academy of Fashion & Design
443 views10 Folien
Old man logan 005 [t] von
Old man logan 005 [t]Old man logan 005 [t]
Old man logan 005 [t]comicgo
469 views23 Folien
resume von
resumeresume
resumeshashi bhushan kumar
194 views3 Folien
Parental Influence and ADHD Diagnosis von
Parental Influence and ADHD DiagnosisParental Influence and ADHD Diagnosis
Parental Influence and ADHD DiagnosisMichael Weaver
277 views35 Folien
Orientationprogram2013 von
Orientationprogram2013Orientationprogram2013
Orientationprogram2013Meetendra Singh
220 views17 Folien

Similar a B05740508

E05912226 von
E05912226E05912226
E05912226IOSR-JEN
489 views5 Folien
A05740104 von
A05740104A05740104
A05740104IOSR-JEN
283 views4 Folien
B04102026 von
B04102026B04102026
B04102026inventy
298 views7 Folien
G05824449 von
G05824449G05824449
G05824449IOSR-JEN
170 views6 Folien
The study of fine reservoir characterization base on high precision seismic i... von
The study of fine reservoir characterization base on high precision seismic i...The study of fine reservoir characterization base on high precision seismic i...
The study of fine reservoir characterization base on high precision seismic i...iosrjce
188 views4 Folien
I05425964 von
I05425964I05425964
I05425964IOSR-JEN
275 views6 Folien

Similar a B05740508(20)

E05912226 von IOSR-JEN
E05912226E05912226
E05912226
IOSR-JEN489 views
A05740104 von IOSR-JEN
A05740104A05740104
A05740104
IOSR-JEN283 views
B04102026 von inventy
B04102026B04102026
B04102026
inventy298 views
G05824449 von IOSR-JEN
G05824449G05824449
G05824449
IOSR-JEN170 views
The study of fine reservoir characterization base on high precision seismic i... von iosrjce
The study of fine reservoir characterization base on high precision seismic i...The study of fine reservoir characterization base on high precision seismic i...
The study of fine reservoir characterization base on high precision seismic i...
iosrjce188 views
I05425964 von IOSR-JEN
I05425964I05425964
I05425964
IOSR-JEN275 views
Reservoir characterization technique based on geostatistical inversion method von iosrjce
Reservoir characterization technique based on geostatistical inversion methodReservoir characterization technique based on geostatistical inversion method
Reservoir characterization technique based on geostatistical inversion method
iosrjce219 views
Fine Study of Sedimentary Microfacies in Delta Front- In Heidimiao Key Sand G... von iosrjce
Fine Study of Sedimentary Microfacies in Delta Front- In Heidimiao Key Sand G...Fine Study of Sedimentary Microfacies in Delta Front- In Heidimiao Key Sand G...
Fine Study of Sedimentary Microfacies in Delta Front- In Heidimiao Key Sand G...
iosrjce335 views
Quantitative and Qualitative Seismic Interpretation of Seismic Data von Haseeb Ahmed
Quantitative and Qualitative Seismic Interpretation of Seismic Data Quantitative and Qualitative Seismic Interpretation of Seismic Data
Quantitative and Qualitative Seismic Interpretation of Seismic Data
Haseeb Ahmed16.6K views
Effects of shale volume distribution on the elastic properties of reserviors ... von DR. RICHMOND IDEOZU
Effects of shale volume distribution on the elastic properties of reserviors ...Effects of shale volume distribution on the elastic properties of reserviors ...
Effects of shale volume distribution on the elastic properties of reserviors ...
Seismic interpretation work flow final ppt von MuhammadJawwad28
Seismic interpretation work flow final pptSeismic interpretation work flow final ppt
Seismic interpretation work flow final ppt
MuhammadJawwad281.3K views
Seismic interpretation and well logging techniques von Pramoda Raj
Seismic interpretation and well logging techniquesSeismic interpretation and well logging techniques
Seismic interpretation and well logging techniques
Pramoda Raj2.7K views
J05915457 von IOSR-JEN
J05915457J05915457
J05915457
IOSR-JEN427 views
H05425558 von IOSR-JEN
H05425558H05425558
H05425558
IOSR-JEN327 views
Statistical Tuning Chart for Mapping Porosity Thickness: a Case Study of Chan... von TELKOMNIKA JOURNAL
Statistical Tuning Chart for Mapping Porosity Thickness: a Case Study of Chan...Statistical Tuning Chart for Mapping Porosity Thickness: a Case Study of Chan...
Statistical Tuning Chart for Mapping Porosity Thickness: a Case Study of Chan...
Influence of Sediments on Recorded Seismic Amplitudes for Different Geologica... von Rohan Karunaratne
Influence of Sediments on Recorded Seismic Amplitudes for Different Geologica...Influence of Sediments on Recorded Seismic Amplitudes for Different Geologica...
Influence of Sediments on Recorded Seismic Amplitudes for Different Geologica...
Evaluation of Heterogeneous Aquifers in Crystalline Rocks from Resistivity So... von theijes
Evaluation of Heterogeneous Aquifers in Crystalline Rocks from Resistivity So...Evaluation of Heterogeneous Aquifers in Crystalline Rocks from Resistivity So...
Evaluation of Heterogeneous Aquifers in Crystalline Rocks from Resistivity So...
theijes326 views
TGS GPS Offshore Southern Brazil von TGS
TGS GPS Offshore Southern Brazil TGS GPS Offshore Southern Brazil
TGS GPS Offshore Southern Brazil
TGS266 views

Más de IOSR-JEN

C05921721 von
C05921721C05921721
C05921721IOSR-JEN
963 views5 Folien
B05921016 von
B05921016B05921016
B05921016IOSR-JEN
600 views7 Folien
A05920109 von
A05920109A05920109
A05920109IOSR-JEN
496 views9 Folien
I05914153 von
I05914153I05914153
I05914153IOSR-JEN
451 views13 Folien
H05913540 von
H05913540H05913540
H05913540IOSR-JEN
431 views6 Folien
G05913234 von
G05913234G05913234
G05913234IOSR-JEN
416 views3 Folien

Más de IOSR-JEN(20)

C05921721 von IOSR-JEN
C05921721C05921721
C05921721
IOSR-JEN963 views
B05921016 von IOSR-JEN
B05921016B05921016
B05921016
IOSR-JEN600 views
A05920109 von IOSR-JEN
A05920109A05920109
A05920109
IOSR-JEN496 views
I05914153 von IOSR-JEN
I05914153I05914153
I05914153
IOSR-JEN451 views
H05913540 von IOSR-JEN
H05913540H05913540
H05913540
IOSR-JEN431 views
G05913234 von IOSR-JEN
G05913234G05913234
G05913234
IOSR-JEN416 views
F05912731 von IOSR-JEN
F05912731F05912731
F05912731
IOSR-JEN362 views
D05911621 von IOSR-JEN
D05911621D05911621
D05911621
IOSR-JEN223 views
C05911315 von IOSR-JEN
C05911315C05911315
C05911315
IOSR-JEN207 views
B05910712 von IOSR-JEN
B05910712B05910712
B05910712
IOSR-JEN247 views
A05910106 von IOSR-JEN
A05910106A05910106
A05910106
IOSR-JEN235 views
B05840510 von IOSR-JEN
B05840510B05840510
B05840510
IOSR-JEN328 views
I05844759 von IOSR-JEN
I05844759I05844759
I05844759
IOSR-JEN261 views
H05844346 von IOSR-JEN
H05844346H05844346
H05844346
IOSR-JEN239 views
G05843942 von IOSR-JEN
G05843942G05843942
G05843942
IOSR-JEN234 views
F05843238 von IOSR-JEN
F05843238F05843238
F05843238
IOSR-JEN272 views
E05842831 von IOSR-JEN
E05842831E05842831
E05842831
IOSR-JEN235 views
D05842227 von IOSR-JEN
D05842227D05842227
D05842227
IOSR-JEN223 views
C05841121 von IOSR-JEN
C05841121C05841121
C05841121
IOSR-JEN308 views
B05840510 von IOSR-JEN
B05840510B05840510
B05840510
IOSR-JEN182 views

Último

The Power of Heat Decarbonisation Plans in the Built Environment von
The Power of Heat Decarbonisation Plans in the Built EnvironmentThe Power of Heat Decarbonisation Plans in the Built Environment
The Power of Heat Decarbonisation Plans in the Built EnvironmentIES VE
84 views20 Folien
Bronack Skills - Risk Management and SRE v1.0 12-3-2023.pdf von
Bronack Skills - Risk Management and SRE v1.0 12-3-2023.pdfBronack Skills - Risk Management and SRE v1.0 12-3-2023.pdf
Bronack Skills - Risk Management and SRE v1.0 12-3-2023.pdfThomasBronack
31 views31 Folien
Qualifying SaaS, IaaS.pptx von
Qualifying SaaS, IaaS.pptxQualifying SaaS, IaaS.pptx
Qualifying SaaS, IaaS.pptxSachin Bhandari
1.1K views8 Folien
KubeConNA23 Recap.pdf von
KubeConNA23 Recap.pdfKubeConNA23 Recap.pdf
KubeConNA23 Recap.pdfMichaelOLeary82
24 views27 Folien
Evaluation of Quality of Experience of ABR Schemes in Gaming Stream von
Evaluation of Quality of Experience of ABR Schemes in Gaming StreamEvaluation of Quality of Experience of ABR Schemes in Gaming Stream
Evaluation of Quality of Experience of ABR Schemes in Gaming StreamAlpen-Adria-Universität
38 views34 Folien
PCCC23:日本AMD株式会社 テーマ2「AMD EPYC™ プロセッサーを用いたAIソリューション」 von
PCCC23:日本AMD株式会社 テーマ2「AMD EPYC™ プロセッサーを用いたAIソリューション」PCCC23:日本AMD株式会社 テーマ2「AMD EPYC™ プロセッサーを用いたAIソリューション」
PCCC23:日本AMD株式会社 テーマ2「AMD EPYC™ プロセッサーを用いたAIソリューション」PC Cluster Consortium
25 views12 Folien

Último(20)

The Power of Heat Decarbonisation Plans in the Built Environment von IES VE
The Power of Heat Decarbonisation Plans in the Built EnvironmentThe Power of Heat Decarbonisation Plans in the Built Environment
The Power of Heat Decarbonisation Plans in the Built Environment
IES VE84 views
Bronack Skills - Risk Management and SRE v1.0 12-3-2023.pdf von ThomasBronack
Bronack Skills - Risk Management and SRE v1.0 12-3-2023.pdfBronack Skills - Risk Management and SRE v1.0 12-3-2023.pdf
Bronack Skills - Risk Management and SRE v1.0 12-3-2023.pdf
ThomasBronack31 views
PCCC23:日本AMD株式会社 テーマ2「AMD EPYC™ プロセッサーを用いたAIソリューション」 von PC Cluster Consortium
PCCC23:日本AMD株式会社 テーマ2「AMD EPYC™ プロセッサーを用いたAIソリューション」PCCC23:日本AMD株式会社 テーマ2「AMD EPYC™ プロセッサーを用いたAIソリューション」
PCCC23:日本AMD株式会社 テーマ2「AMD EPYC™ プロセッサーを用いたAIソリューション」
Webinar : Desperately Seeking Transformation - Part 2: Insights from leading... von The Digital Insurer
Webinar : Desperately Seeking Transformation - Part 2:  Insights from leading...Webinar : Desperately Seeking Transformation - Part 2:  Insights from leading...
Webinar : Desperately Seeking Transformation - Part 2: Insights from leading...
AIM102-S_Cognizant_CognizantCognitive von PhilipBasford
AIM102-S_Cognizant_CognizantCognitiveAIM102-S_Cognizant_CognizantCognitive
AIM102-S_Cognizant_CognizantCognitive
PhilipBasford21 views
Don’t Make A Human Do A Robot’s Job! : 6 Reasons Why AI Will Save Us & Not De... von Moses Kemibaro
Don’t Make A Human Do A Robot’s Job! : 6 Reasons Why AI Will Save Us & Not De...Don’t Make A Human Do A Robot’s Job! : 6 Reasons Why AI Will Save Us & Not De...
Don’t Make A Human Do A Robot’s Job! : 6 Reasons Why AI Will Save Us & Not De...
Moses Kemibaro35 views
"Node.js Development in 2024: trends and tools", Nikita Galkin von Fwdays
"Node.js Development in 2024: trends and tools", Nikita Galkin "Node.js Development in 2024: trends and tools", Nikita Galkin
"Node.js Development in 2024: trends and tools", Nikita Galkin
Fwdays33 views
Optimizing Communication to Optimize Human Behavior - LCBM von Yaman Kumar
Optimizing Communication to Optimize Human Behavior - LCBMOptimizing Communication to Optimize Human Behavior - LCBM
Optimizing Communication to Optimize Human Behavior - LCBM
Yaman Kumar38 views
"Package management in monorepos", Zoltan Kochan von Fwdays
"Package management in monorepos", Zoltan Kochan"Package management in monorepos", Zoltan Kochan
"Package management in monorepos", Zoltan Kochan
Fwdays34 views
Innovation & Entrepreneurship strategies in Dairy Industry von PervaizDar1
Innovation & Entrepreneurship strategies in Dairy IndustryInnovation & Entrepreneurship strategies in Dairy Industry
Innovation & Entrepreneurship strategies in Dairy Industry
PervaizDar135 views
Zero to Cloud Hero: Crafting a Private Cloud from Scratch with XCP-ng, Xen Or... von ShapeBlue
Zero to Cloud Hero: Crafting a Private Cloud from Scratch with XCP-ng, Xen Or...Zero to Cloud Hero: Crafting a Private Cloud from Scratch with XCP-ng, Xen Or...
Zero to Cloud Hero: Crafting a Private Cloud from Scratch with XCP-ng, Xen Or...
ShapeBlue199 views
Enabling DPU Hardware Accelerators in XCP-ng Cloud Platform Environment - And... von ShapeBlue
Enabling DPU Hardware Accelerators in XCP-ng Cloud Platform Environment - And...Enabling DPU Hardware Accelerators in XCP-ng Cloud Platform Environment - And...
Enabling DPU Hardware Accelerators in XCP-ng Cloud Platform Environment - And...
ShapeBlue108 views
Initiating and Advancing Your Strategic GIS Governance Strategy von Safe Software
Initiating and Advancing Your Strategic GIS Governance StrategyInitiating and Advancing Your Strategic GIS Governance Strategy
Initiating and Advancing Your Strategic GIS Governance Strategy
Safe Software184 views
Future of AR - Facebook Presentation von Rob McCarty
Future of AR - Facebook PresentationFuture of AR - Facebook Presentation
Future of AR - Facebook Presentation
Rob McCarty65 views

B05740508

  • 1. IOSR Journal of Engineering (IOSRJEN) www.iosrjen.org ISSN (e): 2250-3021, ISSN (p): 2278-8719 Vol. 05, Issue 07 (July. 2015), ||V4|| PP 05-08 International organization of Scientific Research 5 | P a g e Yingtai Area in Songliao Basin as the Main Layer Tight Oil "Dessert" Reservoir Prediction Lin Zhu1 , Kai Shao1 ,Yuxi Cui 1 Northeast Petroleum University, Daqing, Heilongjiang, China, 163318 Abstract: -Tight oil as one of unconventional oil and gas resources are widely distributed, great potential. In recent years, with the development of shale gas and the volume of fracturing horizontal well technology, dense oil and gas has the potential to succeed in the areas of energy exploration and development has become increasingly active, is developing rapidly. The main layer "dessert" predict played a crucial role again when the reservoir development deployment position, aiming Songliao Basin Yingtai area as an example, from seismic attribute analysis are based on a study combining geostatistical inversion. Keywords: Tight oil; Songliao Basin; Geostatistical inversion; Phase shift process; I. INTRODUCTION Unconventional oil and gas resources in the northern part of Songliao Basin, especially tight oil resources in a huge amount, including Gaotaizi oil source within the tight oil, shale oil and some green Fuyang reservoir permeability less than the next source 2mD. In line with the oil 2014--2015 annual Changyuan periphery Fuyu oil and Heidimiao raise productivity of horizontal wells, reserves upgrade research study, implementation of control reserves for Fuyu oil source 7 Zhaoyuan area well area, expand the "sweet spot" Reservoir forecasting, aiming English Taiwan English well region 86 Heidimiao stable mouth bar sand bodies have taken the seismic attribute analysis processing based on a phase shift-based techniques, the use of geostatistical inversion accurately portray the estuary flat bar sand distribution, and ultimately complete the main floor, "dessert" forecast. II. REGIONAL OVERVIEW Yingtai area is located in Zhaoyuan County, Heilongjiang Province and Duerbote County territory, the main located Qijia - Gulong sag, North England region 36 wells, reservoirs and Bayanchagan phase, southwest of the Nen River Valley world, east and Puxi, Xinzhao new station adjacent fields, the region has been the Nen River from the northwest to east Nanliu, low-lying, blisters, canals, dams distribution. Ground elevation between 126.99 ~ 155.0m. Located on tectonic zone central depression of the northern Songliao Basin Qijia - Gulong Depression southern end of the main targets for the Putaohua oil exploration, oil and Saertu Heidimiao. Information about area 450.0km2 dimensional work area, this research work is mainly for the British Ministry of the well region 86 Heidimiao Sec deploy assessing control wells, the purpose is through the block of seismic geological research, evaluation of horizontal wells and infrastructure development, the focus on "dessert reservoir" prediction method to obtain a high sandstone and oil drilling rate and enhance individual well production. III. RESERVOIR " DESSERT " RESERVOIR PREDICTION Horizontal wells will focus on aspects of the deployment of a "sweet spot" reservoir prediction, horizontal wells in reservoir development only deployed position, in order to obtain a high sandstone and oil drilling rate and enhance individual well production. 3.1 seismic attribute analysis Based on lithology, electrical characteristics were carried out against Heidimiao for HII2 oil group attribute analysis, the corresponding strata were studied slice properties, phase shift processing data volume, relative wave impedance characteristics, micro seismic facies waveform clustering qualitative group of Black HII2 favorable reservoir sand body position. 3.1.1 Heidimiao strata slice attribute analysis Seismic data commonly used technologies include horizontal slice slice, slice along the layer formation information reflected in two different sections. Also known as time slicing slice level, it reflects the same geological characteristics of the ground time domain isochronous surface, can show abnormal seismic attribute
  • 2. Yingtai area in Songliao Basin as the main layer tight oil "dessert" reservoir prediction International organization of Scientific Research 6 | P a g e spatial distribution, determine the direction of extension of the deposition system, which applies to sheeted and supine formation, so as to The seismic attributes and other information with the horizontal plane parallel to the deposition system contains extracted. Horizon slice refers to the purpose of the layers along the surface of the slice, known as seismic sections along the floor, it is not only adapt, but not prostrate mat-like formation, but also to adapt to fluctuating formations, especially to reflect more accurately inclined strata geological characteristics and changes of sedimentary reservoirs. Slicing through the layer can show the ups and downs along the inclined anomalies and seismic attribute spatial distribution, determine the direction of extension of the deposition system, it is for the inclined plane parallel to the depositional system in order to ensure that when the extracted seismic attribute information, etc., for the inclined plane not parallel deposition system, his presence in the layer time slicing through the phenomenon of change information within the sedimentary system under seismic attribute information extraction and other frameworks do not reflect lithology. 3.1.2 Phase shift process Bandwidth seismic waves directly affects the level of resolution, to ensure no loss of low-frequency component of the premise, the resolution was a positive relationship with the bandwidth, zero-phase wavelet highest resolution. Seismic data processing seismic wavelet is often assumed that the minimum phase wavelet, minimum phase asymmetric waveform, and the sub-Bourbon lobe longer, can not simply take advantage of the peaks and layer interface or correspondence between the layers. Therefore, before seismic interpretation, to be converted into a minimum-phase wavelet zero-phase wavelets. For thin, especially thin interbedded geologic conditions, even if they can obtain a zero phase wavelet, still have to face the top of the formation, the end of the interface question reflection indistinguishable, so to improve the thin, thin interbedded interpretation accuracy, but alsoWe must rely on well constrained geological knowledge and data. In general, the results of seismic data processing phase existing data volume is essentially zero phase is not, therefore, in practice, the need to determine the polarity and phase angle seismic data, seismic data, based on the original by turning the corresponding phase angle, so that the purpose of the seismic data interval phase angle approaching 90 °, more suitable for the direct application of thin reservoir prediction of seismic information. 3.2 Seismic inversion 3.2.1 Sandstone quantitative prediction method Sandstone quantitative forecasting methods currently used in the well - seismic impedance inversion based, multi-well constrained inversion to logging data-rich high-frequency information and a complete complement to the low-frequency components of seismic limited bandwidth, access high-resolution formation impedance and various logs Association simulation data volume. It provides initial exploration into the development phase of the corresponding inversion method: recursive inversion, constrained sparse pulse inversion, stochastic simulation and stochastic seismic inversion and reservoir characteristics of the integrated inversion. Wherein the geostatistical inversion using seismic data, logging data, and establish a high-resolution geological modeling or pattern matching to get the main component of the reservoir model, is a model-based inversion method, focusing on the thin and fine prediction reservoir description. The principle is: seismic data volume for each channel can be represented in a linear combination of a few of its neighbor, which reflects the relationship between the coefficient matrix of this linear combination, reflects the subsurface variation from one point to another point. And this law is unique, it will be applied to log data body, get well logging constrained seismic inversion. Closely integrated with the seismic data, the two mutual restraint, in time, establish the correct time-depth relationships through sonic depth of field on the curve, and thus the entire seismic data for various logging curve. 3.2.2 Forecasting process and quality control First, a variety of data loading, including seismic data, interpret the data, well log, hierarchical data, etc., and various well region of the curve, each year, different instruments obtained was normalized; secondly extracting wavelet, making synthetic records, repeatedly adjust wavelets, so that the resulting synthetic seismogram and seismic traces the well reaches the maximum correlation, thus establishing the initial model. Then inversion according to the model, the study area Heidimiao HⅡ2 small layer of sand low GR, significantly high resistance characteristics, based on geostatistical impedance inversion on feature GR and resistivity curve random co-simulation, multiple attribute comprehensive prediction sand body distribution; Finally, based on the inversion data volume, by logging data analysis to determine the purpose of sand and shale layer threshold values and calculation purposes sandstone thickness and effective thickness, and finally the plane of FIG.
  • 3. Yingtai area in Songliao Basin as the main layer tight oil "dessert" reservoir prediction International organization of Scientific Research 7 | P a g e 3.3 Geostatistical Inversion Geostatistical method steps are as follows: 1) analysis of the variogram data; 2) find the relationship between seismic and log data to find the variation between the correlation analysis; 3) the use of the known data analysis to determine the law to get the space distribution of the control points. Commonly used tool is the Kriging method. Picture 1 petrophysical analysis From geological point of view, the Spatial characteristics of the reservoir space geometry, material properties and other parameters are in effect under the law of a series of geological origin of the formation. Picture 1 is a well region 86 British Heidimiao impedance curve and lithology analysis histogram intersection of gamma ray and resistivity analysis diagram, of which only divided the sandstone and mudstone are two, we can see that the impedance curve of sand and shale It has some ability to distinguish between the impedance value of less than 6800 grams per cubic centimeter is mudstone, greater than 6800 grams per cubic centimeter is sandstone, but can also be found in the use of impedance lithology distinguish, in histogram lithology overlap region remains to distinguish the effect be affected. Through the above process, we can build low-impedance model Figure 5-2-19 even Inami impedance model can be seen in the initial model is reasonable, and there is no obvious outliers, and finally through the congruency map and seismic inversion can ability to distinguish thin geostatistical inversion seen stronger, higher accuracy (Picture 2). Picture 2 Well even low-impedance model IV. CONCLUSION (I) Yingtai area Heidimiao sandstone thickness small, lateral heterogeneity is strong, well-seismic joint using geostatistical inversion as the core technology to quantitatively predict sandstone, the main purpose is to accurately identify the main Heidimiao HII2 the spatial distribution of sand, and finally through the congruency map and seismic inversion can be seen in the ability to distinguish thin geostatistical inversion stronger, higher accuracy. (II) It does this by obtaining a static data and dynamic data have been combined, were the main layer " dessert" identification guide the regional deployment of new wells, strengthening of the recovery and improve the reservoir prediction accuracy to achieve the effective development of tight oil in Songliao basin.
  • 4. Yingtai area in Songliao Basin as the main layer tight oil "dessert" reservoir prediction International organization of Scientific Research 8 | P a g e REFERENCES [1] Stephen A. Sonnenberg, Aris Pramudito. Petroleum geology of the giant ElmCoulee field,W illiston Basin. AAPG Bulletin, v.93, no. 9 (September 2009), pp. 1127~1153. [2] Mackey,S.D.and Bridge,J.S.Three-dimensional model of alluvial stratigraphy:theory and application.Journal of Sedimentary Research,1995,B65(1):7~31. [3] Clavier C, Coates G, Dumanoir J. The theoretical and experimental bases for the “dual water” model for interpretation of shaly sands. SPE 6859, 1977. 1—27. [4] Clavier C, Coates G, Dumanoir J. The theoretical and experimental bases for the dual-water model for interpretation of shaly sands. SPEJ, 1984, 24(2): 153—168 [5] Cander H.What is unconventional resources[R]. Long Beach,California:AAPG Annual Convention and Exhibition,2012. [6] GarberM.China:nearly half reserves are in marginal reservoirs[N].18WPC News of WPC,2005,78~89