Fracture Prediction in a Carbonate Reservoir Based on Logging-Seismic Data

GE Hongqi; JIN Kenian; WU Qinxuan

doi:10.11911/syztjs.201705021

Volume 45 Issue 5

Sep. 2017

Turn off MathJax

Article Contents

Abstract

References

Petroleum Drilling Techniques > 2017 > 45(5): 118-126. > DOI: 10.11911/syztjs.201705021

GE Hongqi, JIN Kenian, WU Qinxuan. Fracture Prediction in a Carbonate Reservoir Based on Logging-Seismic Data[J]. Petroleum Drilling Techniques, 2017, 45(5): 118-126. DOI: 10.11911/syztjs.201705021

Citation:

GE Hongqi, JIN Kenian, WU Qinxuan. Fracture Prediction in a Carbonate Reservoir Based on Logging-Seismic Data[J]. Petroleum Drilling Techniques, 2017, 45(5): 118-126. DOI: 10.11911/syztjs.201705021

Citation:

GE Hongqi, JIN Kenian, WU Qinxuan. Fracture Prediction in a Carbonate Reservoir Based on Logging-Seismic Data[J]. Petroleum Drilling Techniques, 2017, 45(5): 118-126. DOI: 10.11911/syztjs.201705021

PDF (1477 KB)

Fracture Prediction in a Carbonate Reservoir Based on Logging-Seismic Data

1.
MOE Key Laboratory of Exploration Technologies for Oil and Gas Resources(Yangtze University), Wuhan, Hubei, 430100, China;
2.
Geophysics and Oil Resource Institute, Yangtze University, Wuhan, Hubei, 430100, China;
3.
Well Logging Company, CNPC Xibu Drilling Engineering Company Limited, Karamay, Xinjiang, 834000, China

More Information

Received Date: January 12, 2017
Revised Date: June 29, 2017

Graphical Abstract

Abstract

Abstract

Carbonate reservoir formations are characterized by the development of fractures and strong heterogeneity.Under such circumstances, singular logging or seismic techniques have limitations in the identification of fractures.In the concerned study, a method involving a combination of logging and seismic data was proposed for predicting fracture development in carbonate reservoir formations.First of all, the rough set theory could be combined with development of fractures to transform weight coefficient problem into the attribute evaluation in rough set.In this way, fractures identified by using logging data could be calibrated by using drilling and coring data.Second, based on azimuthal anisotropy of pre-stacking seismic data, the fracture development, dominant azimuth and fracture growth density could be predicted;Finally, the matching of logging and seismic scale was completed through drilling-seismic calibration.In addition, the functional relationship between the logging fracture extension recognition results and pre-stack seismic anisotropy detection intensity could be matched to highlight extent of the seismic data and grades of fractures.Field data were used to predict fracture development in carbonate reservoir formations through a combination of logging-seismic data.Research results showed the proposed method could effectively enhance the reliability of prediction.In addition, fractures of various scales in both horizontal and vertical directions could be identified effectively.Relevant research might provide valuable references for prediction of fracture development in carbonate reservoir formations.
- fracture prediction,
- rough set,
- anisotropy,
- seismic,
- logging

FullText(HTML)

References (24)

References

[1]	穆龙新,赵国良.储层裂缝预测研究[M].北京:石油工业出版社,2009:32-70. MU Longxin,ZHAO Guoliang.Study on reservoir fracture prediction[M].Beijing:Petroleum Industry Press,2009:32-70.
[2]	张军华.断块、裂缝型油气藏地震精细描述技术[M].东营:中国石油大学出版社,2012:28-33. ZHANG Junhua.Seismic fine description technique for fault block and fractured reservoirs[M].Dongying:China University of Petroleum Press,2012:28-33.
[3]	孙建孟,刘蓉,梅基席,等.青海柴西地区常规测井裂缝识别方法[J].测井技术,1999,23(4):268-272. SUN Jianmeng,LIU Rong,MEI Jixi,et al.Fracture identification technique by conventional logs from Western Chaidamu Basin,Qinghai Oilfield[J].Well Logging Technology,1999,23(4):268-272.
[4]	冯翠菊,闫伟林.利用常规测井资料识别变质岩储层裂缝的方法探讨[J].国外测井技术, 2008,23(2):14-16. FENG Cuiju,YAN Weilin.Discussion on identification of the fractures in metamorphic rock reservoir with conversational logging data[J].World Well Logging Technology,2008,23(2):14-16.
[5]	龚佳,秦迎春,王宁,等.综合概率法在白云岩储层裂缝识别中的应用[J].内蒙古石油化工,2011,21(14):148-151. GONG Jia,QIN Yingchun,WANG Ning,et al.The application of the comprehensive probability method identifying the dolomite reservoir fracture[J].Inner Mongolia Petrochemical Industry, 2011,21(14):148-151.
[6]	刘振峰,曲寿利,孙建国,等.地震裂缝预测技术研究进展[J].石油物探,2012,51(2):191-198. LIU Zhenfeng,QU Shouli,SUN Jianguo,et al.Progress of seismic fracture characterization technology[J].Geophysical Prospecting for Petroleum,2012,51(2):191-198.
[7]	刘军迎.裂缝型油气藏叠前地震检测方法技术研究[D].成都:成都理工大学,2012:1-22. LIU Yingjun.Fractured hydrocarbon reservoirs pre-stack seismic detection methods and techniques[D].Chengdu:Chengdu University of Technology,2012:1-22.
[8]	何巍巍.裂缝性储层预测研究:以川东北嘉陵江组二段储层为例[D].北京:中国地质大学(北京),2010:8-22. HE Weiwei.Research on prediction in fractured reservoir:taking the reservoir of the Jialingjiang No.2 member in Northeastern Sichuan Basin for example[D].Beijing:China University of Geosciences (Beijing), 2010:8-22.
[9]	曲寿利,季玉新,王鑫,等.全方位P波属性裂缝检测方法[J].石油地球物理勘探,2001,36(4):390-397. QU Shouli,JI Yuxin,WANG Xin,et al.Seismic method for using full-azimuth P-wave attribution to detect fracture[J].Oil Geophysical Prospecting,2001,36(4):390-397.
[10]	魏建新,狄帮让.裂隙密度对纵波传播特性影响的实验观测[J].石油地球物理勘探,2007,42(5):554-559. WEI Jianxin,DI Bangrang.Experimentally surveying influence of fractural density on P-wave propagating characters[J].Oil Geophysical Prospecting,2007,42(5):554-559.
[11]	魏建新,狄帮让,王椿镛.岩石正交各向异性的实验观测[J].地球物理学进展,2008,23(2):343-350. WEI Jianxin,DI Bangrang,WANG Chunyong.The experimental observation of the rock orthorhombic anisotropy[J].Progress in Geophysics,2008,23(2):343-350.
[12]	李军,郝天珧,赵百民.地震与测井数据综合预测裂缝发育带[J].地球物理学进展,2006,21(1):179-183. LI Jun,HAO Tianyao,ZHAO Baimin.Synthetic predication of favorable fracture zone from seismic and log data[J].Progress in Geophysics,2006,21(1):179-183.
[13]	HAMPSON D P,SCHUELKE J S,QUIREIN J A.Use of multiattribute transforms to predict log properties from seismic data[J].Geophysics,2001,66(1):220-236.
[14]	LEIPHART D J,HART B S.Comparison of linear regression and a probabilistic neural network to predict porosity from 3-D seismic attributes in Lower Brushy Canyon channeled sandstones, Southeast New Mexico[J].Geophysics,2001,66(5):1349-1358.
[15]	贾跃玮,魏水建,吕林.应用地震纵波方位各向异性定量预测火山岩裂缝[J].石油物探,2014, 53(4):477-483. JIA Yuewei,WEI Shuijian,LYU Lin.Application of seismic P-wave azimuthal anisotropy in volcanic fracture prediction[J].Geophysical Prospecting for Petroleum,2014,53(4):477-483.
[16]	王庆如, 李敬功.碳酸盐岩气藏储量参数测井评价方法[J].岩性油气藏, 2013,25(6):98-102. WANG Qingru,LI Jinggong.Logging evaluation method of reserve parameters of carbonate gas reservoir[J].Lithologic Reservoirs,2013,25(6):98-102.
[17]	张娟,周文,邓虎成,等.麻黄山地区延安组、延长组储层裂缝特征及识别[J].岩性油气藏,2009,21(4):53-57. ZHANG Juan,ZHOU Wen,DENG Hucheng,et al.Fracture identification of reservoir of Yan’an and Yanchang Formation in Mahuangshan Area[J].Lithologic Reservoirs,2009,21(4):53-57.
[18]	先伟,吴伟航,李小刚,等.双侧向测井裂缝参数解释在伊朗Aran油田的应用[J].岩性油气藏,2008,20(3):89-94. XIAN Wei,WU Weihang,LI Xiaogang, et al.Application of dual laterolog interpretation of fracture parameters in Aran Field,Iran[J].Lithologic Reservoirs,2008,20(3):89-94.
[19]	王孟华,崔永谦,张锐峰,等.泥灰岩裂缝储层预测方法研究:以束鹿凹陷为例[J].岩性油气藏,2007,19(3):114-119. WANG Menghua,CUI Yongqian,ZHANG Ruifeng,et al.Prediction method for marl fractured reservoir:an example from Shulu Sag[J].Lithologic Reservoirs,2007,19(3):114-119.
[20]	刘清,黄兆华,姚力文.Rough集理论:现状与前景[J].计算机科学,1997,24(4):2-4. LIU Qing,HUANG Zhaohua,YAO Liwen.Rough set theory:present state and prospects[J].Computer Science,1997,24(4):2-4.
[21]	王国胤,姚一豫,于洪.粗糙集理论与应用研究综述[J].计算机学报,2009,32(7):1229-1246. WANG Guoyin,YAO Yiyu,YU Hong.A survey on Rough Set theory and applications[J].Chinese Journal of Computers,2009,32(7):1229-1246.
[22]	RGRE A.Reflection coefficients and azimuthal AVO analysis in anisotropic media[M].Tulsa:Society of Exploration Geophysicists,2002:140-147.
[23]	MALLICK S,CRAFT K L,MEISTER L J,et al.Determination of the principal directions of azimuthal anisotropy form P-wave seismic data[J].Geophysics,1998,63(2):692-706.
[24]	黄捍东,刘徐敏,蔡燕杰,等.综合利用测井-地震方法识别火成岩裂缝[J].石油地球物理勘探,2015,50(5):942-950. HUANG Handong,LIU Xumin,CAI Yanjie,et al.Igneous rock fracture prediction with well logging and seismic data[J].Oil Geophysics Prospecting,2015,50(5):942-950.

[1]	GAO Zelin, WANG Jiaqi, ZHANG Qizi. Research on Architecture of Intelligent Logging Interpretation Software Platform[J]. Petroleum Drilling Techniques, 2024, 52(4): 128-134. DOI: 10.11911/syztjs.2023119
[2]	HU Wenliang, ZHANG Guodong, LIU Baoyin, LUO Jian, WEI Xiaohan. Formation Anisotropy Characterization Method Based on Micro-Resistivity Imaging Logging[J]. Petroleum Drilling Techniques, 2023, 51(2): 125-130. DOI: 10.11911/syztjs.2023048
[3]	LIU Tianlin, YUE Xizhou, LI Guoyu, MA Mingxue, WANG Yiyi. Study over the Geo-Signal Properties of Ultra-Deep Electromagnetic Wave Logging While Drilling[J]. Petroleum Drilling Techniques, 2022, 50(6): 41-48. DOI: 10.11911/syztjs.2022110
[4]	ZHANG Yu. Application of Direct-Push Storage Logging Technology in the Northwest Oilfield[J]. Petroleum Drilling Techniques, 2021, 49(1): 121-126. DOI: 10.11911/syztjs.2021018
[5]	XIA Hongquan, LIU Chang, LI Gaoren, JIANG Tingwei. A Logging Data-Based Calculation Method for the Horizontal TIV Formation In-Situ Stress[J]. Petroleum Drilling Techniques, 2019, 47(6): 67-72. DOI: 10.11911/syztjs.2019130
[6]	LU Baoping, NI Weining. The Key Technologies of High Precision Imaging Logging while Drilling[J]. Petroleum Drilling Techniques, 2019, 47(3): 148-155. DOI: 10.11911/syztjs.2019060
[7]	ZHU Zuyang, NI Weining, ZHANG Wei, MI Jintai, ZHENG Yiting. The Development of an Integrated Logging Instrument Platform while Drilling[J]. Petroleum Drilling Techniques, 2019, 47(1): 118-126. DOI: 10.11911/syztjs.2019016
[8]	ZHANG Junlong, WANG Aiyun, HE Xiangxiang. Carbonate Lithology and Microfacies Logging Identification in the Gucheng Area[J]. Petroleum Drilling Techniques, 2016, 44(3): 121-126. DOI: 10.11911/syztjs.201603022
[9]	Zhao Lei. Cable Conveying and Releasing Logging Meter in Complicated Horizontal Wells in Western Sichuan[J]. Petroleum Drilling Techniques, 2015, 43(6): 66-69. DOI: 10.11911/syztjs.201506012
[10]	Liao Dongliang. Interpretation and Application of ECS Logging Data in Shale Formations[J]. Petroleum Drilling Techniques, 2015, 43(4): 102-107. DOI: 10.11911/syztjs.201504018

Cited By

Cited by

Periodical cited type(2)

1.	彭越，张满郎，李明秋，万玉金，李昱宏，张静平，滕柏路，牛梦瑶，罗万静. 基于图像识别技术的裂缝发育程度定量评价新方法——以安岳气田须二气藏为例. 非常规油气. 2024(01): 12-21 .
2.	许孝凯. 声波远探测测井与地震缝洞精细评价技术. 应用声学. 2023(06): 1185-1191 .

Other cited types(7)

Get Citation

PDF

XML

Article Metrics

Article views (7684) PDF downloads (8542) Cited by(9)

Fracture Prediction in a Carbonate Reservoir Based on Logging-Seismic Data

Abstract

References

Related Articles

Cited by

Periodical cited type(2)

Other cited types(7)

Catalog

Article Metrics

Related

Fracture Prediction in a Carbonate Reservoir Based on Logging-Seismic Data

Abstract

References

Related Articles

Cited by

Periodical cited type(2)

Other cited types(7)

Catalog

Article Metrics

Related

Export File

Citation

Format

Content