Journal of Jilin University(Earth Science Edition) ›› 2021, Vol. 51 ›› Issue (2): 607-623.doi: 10.13278/j.cnki.jjuese.20200007

Previous Articles    

Evaluation of Fracture Zones and Optimazation of Borehole Tracks in Carbonate Formations Through Information Fusion of Seismic Attributes and Electric Image Well Logging

Wang Lei1, Shen Jinsong1, Zou Rong2, Lin Xuemin2, Xu Zhongxiang2, Su Zhaoyang1, Yang Ping1   

  1. 1. College of Geophysics, China University of Petroleum(Beijing), Beijing 102249, China;
    2. North West Oil Field Corporation, SINOPEC, Urumqi 830011, China
  • Received:2020-01-06 Published:2021-04-06
  • Supported by:
    Supported by the Major Science and Technology Special Project of China National Petroleum Corporation (2017E-15)

PDF (PC)

113

Abstract: Strong heterogeneity is a problem in the exploration in fracture and vug zones of carbonate formations in the Xinjiang oil work region. In this study, we developed a method based on information fusion of seismic multi-attributes optimized and electric image well logging, then applied it to identify and evaluate the fracture and vug zones existed in carbonate formations,and further to optimize the borehole tracks in carbonate reservoirs. First, we predicted and sculptured the spatial distribution of fractures and vugs by using the information derived from the multiple seismic attributes of coherence, ant tracking, and others in combination with the result of pulse inversion constrained by dip vectors to determine the scope of the potential hydrocarbon trap; Second, the orientation and dip of the fractures and the scattering of the vugs were statistically estimated through the information automatically picked up from the borehole electric images by means of mathematical morphology filtering; Third, the orientations of maximum and minimum stresses in the formations were estimated through the information of borehole collapse deduced from the multi-arm dipmeter logs and the drill bit induced fractures extracted from the electric image well logs; Furthermore, the results of fracture distribution and vug scattering were obtained through information fusion of multiple seismic attributes and electric images, which can be used as an indicator of the orientation of the maximum stress in regional slipping faults. The orientation of the maximum stress in this region is directed to NE-SW, locally directed to NW-SE, and the fractures with medium-high dip are along the maximum stress direction. Based on the predicted maximum stress, the optimization borehole track of deviated borehole and horizontal well was designed along the direction of NW-SE. In application, the drilled boreholes penetrated large scale high quality reservoirs, and obtained stable amount of oil production. Also, by using this method, the risk of deep formation exploration can be significantly decreased.

Key words: fractured and vuggy carbonated reservoirs, seismic attributes, electric imaging well logging, evaluation of the fractured and vuggy zones, optimization of borehole track

CLC Number: 

  • P631
[1] 孙龙德,邹才能,朱如凯,等. 中国深层油气形成、分布与潜力分析[J]. 石油勘探与开发,2013,40(6):641-649. Sun Longde, Zou Caineng,Zhu Rukai, et al. Formation, Distribution and Potential of Deep Hydrocarbon Resources in China[J]. Petroleum Exploration and Development, 2013, 40(6):641-649.
[2] 焦方正. 塔里木盆地深层碳酸盐岩缝洞型油藏体积开发实践与认识[J]. 石油勘探与开发,2019,46(3):552-558. Jiao Fangzheng. Practice and Knowledge of Volumetric Development of Deep Fracture-Vuggy Carbonatereservoirs in Tarim Basin, NW China[J]. Petroleum Exploration and Development,2019,46(3):552-558.
[3] 田军. 塔里木盆地油气勘探成果与勘探方向[J],新疆石油地质,2019,40(1):1-11. Tian Jun. Petroleum Exploration Achievements and Future Targets of Tarim Basin[J]. Xinjiang Petroleum Geology, 2019,40(1):1-11.
[4] Wei Ju, Shen Jian, Qin Yong, et al. In-Situ Stress State in the Linxing Region, Eastern Ordos Basin, China:Implications for Unconventional Gas Exploration and Production[J]. Marine and Petroleum Geology, 2017, 86(1):66-78.
[5] Rajabi M, Tingay M, Heidbach O. The Present-Day State of Tectonic Stress in the Darling Basin, Australia:Implications for Exploration and Production[J]. Marine and Petroleum Geology, 2016, 77(2):776-790.
[6] 漆立新. 塔里木盆地顺托果勒隆起奥陶系碳酸盐岩超深层油气突破及其意义[J].中国石油勘探, 2016, 21(3):38-50. Qi Lixin. Oil and Gas Breakthrough in Ultra-Deep Ordovician Carbonate Formations in Shuntuoguole Uplift, Tarim Basim[J]. China Petroleum Exploration, 2016, 21(3):38-50.
[7] Bahorich M S, Farmer S L. 3-D Seismic Discontinuity for Faults and Stratigraphic Features:The Coherence Cube[J]. The Leading Edge, 1995, 10:1053-1058.
[8] Roberts A. Curvature Attributes and Their Application to 3D Interpreted Horizons[J]. First Break, 2001, 19(2):85-100.
[9] Silva C C, Marcolino C S, Lima F D. Automatic Fault Extraction Using ant Tracking Algorithm in the Marlim South Field, Campos Basin[R]. Houston:SEG Technical Program Expanded Abstracts, 2005:857-860.
[10] Mark R P T, Richard R H, Chris K M, et al. Present-Day Stress and Neotectonics of Brunei:Implications for Petroleum Exploration and Production[R]. AAPG Bulletin, 2009, 93(1):75-100.
[11] Nguyen T T B, Tomochika T, Hoang P S, et al. Present-Day Stress and Pore Pressure Fields in the Cuu Long and Nam Con Son Basins, Offshore Vietnam[J]. Marine and Petroleum Geology, 2007, 24(2):607-615.
[12] 焦方正. 塔里木盆地顺北特深碳酸盐岩断溶体油气藏发现意义与前景[J]. 石油与天然气地质,2018,39(2):207-216. Jiao Fangzheng. Significance and Prospect of Ultra-Deep Carbonate Fault-Karst Reservoirs in Shunbei Area,Tarim Basin[J]. Oil & Gas Geology 2018, 39(2):207-216.
[13] 郑孟林,王毅,金之钧,等. 塔里木盆地叠合演化与油气聚集[J]. 石油与天然气地质,2014,35(6):925-934. Zheng Menglin, Wang Yi, Jin Zhijun, et al. Superimposition,Evolution and Petroleum Accumulation of Tarim Basin[J]. Oil & Gas Geology, 2014,35(6):925-934.
[14] Plumb, Richard A, Stephen H H. Stress-Induced Borehole Elongation:A Comparison Between the Four-Arm Dipmeter and the Borehole Televiewer in the Auburn Geothermal Well[J]. Journal of Geophysical Research:Solid Earth, 1985, 90(B7):5513-5521.
[15] Wang Lei, Su Zhaoyang, Shen Jinsong, et al. Faults and Fractures Detection Using Multiple Seismic Attributes and Sculpture Technique[C]//81st EAGE Conference and Exhibition, London:European Association of Geoscientists & Engineers, 2019.
[16] Marfurt, Kurt J. Seismic Attributes as the Framework for Data Integration Throughout the Oilfield Life Cycle[R]. Anaheim, California:Society of Exploration Geophysicists, 2018.
[17] Abdulmajid L, Suhail A, Mohamed D, et al. Fault Detection Using Seismic Attributes and Visual Saliency[C]. SEG Technical Program Expanded Abstracts, Dallas, Texas:Society of Exploration Geophysicists, 2016, 1939-1943.
[18] Recht B. A Simpler Approach to Matrix Completion[J]. Journal of Machine Learning Research, 2011, 12(11):3413-3430.
[19] Cai Jianfeng, Candes E J, Shen Zuowei. A Singular Value Thresholding Algorithm for Matrix Completion Export[J]. Society for Industrial and Applied Mathematics, 2008, 20(4):1956-1982.
[20] Li Chuang, Huang Jianping, Li Zhenchun, et al. Regularized Least-Squares Migration of Simultaneous-Source Seismic Data with Adaptive Singular Spectrum Analysis[J]. Petroleum Science, 2017, 14(1):61-74.
[21] 李振苓, 沈金松, 李思,等. 成像测井电导率图像空白带奇异谱插值和缝洞孔隙度分离方法[J]. 测井技术, 2017, 41(1):33-40. Li Zhenling,Shen Jinsong,Li Si, et al. Singular Spectral Interpolation of Blank Strips in Formation Micoro-Scanner Conductivity Image and Separation of Porosity Between Fracture and Karst Cave[J]. Well Logging Technology, 2017, 41(1):33-40.
[22] 李振苓,沈金松,李曦宁,等. 用形态学滤波从电导率图像中提取缝洞孔隙度谱[J].吉林大学学报(地球科学版), 2017, 47(4):1295-1307. Li Zhenling, Shen Jinsong, Li Xining, et al. Estimating Porosity Spectrum of Fractureand Karst Cave from Conductivity Image by Morphological Filtering[J]. Journal of Jilin University (Earth Science Edition), 2017, 47(4):1295-1307.
[23] Otsu N. A Threshold Selection Method from Gray-Level Histograms[J]. IEEE Transactions on Systems, Man, and Cybernetics, 1979, 9(1):62-66.
[24] Rafael C G, Richard E W. Digital Image Processing[M]. 2nd ed. New Jersey:Reading, Mass, Addison-Wesley Publishing Co, Inc. 1987.
[25] Niblack W. An Introduction to Digital Image Processing[M]. Denmark:Strandberg Publishing Company Birkeroed, 1985.
[26] Al-Shammaa A A M, Mohamed R. Extraction of Connected Components Skin Pemphigus Diseases Image Edge Detection by Morphological Operations[J]. International Journal of Computer Applications, 2012, 46(18):7-13.
[27] Drapeau J, Géraud T, Coustaty M, et al. Extraction of Ancient Map Contents Using Trees of Connected Components[C]//International Workshop on Graphics Recognition. Berlin:Springer, 2017:115-130.
[28] Jolliffe I T. Principal Component Analysis[M]. New York:Springer, 2002.
[29] Saporta G, Niang N. Principal Component Analysis:Application to Statistical Process Control[M]//Govaert G. London:John Wiley & Sons, 2009:1-23.
[30] Abdi H, Williams L J. Principal Component Analysis[J]. Wiley Interdisciplinary Reviews:Computational Statistics, 2010, 2(4):433-459.
[31] 马乃拜,金圣林,杨瑞召,等. 塔里木盆地顺北地区断溶体地震反射特征与识别[J]. 石油地球物理勘探, 2019, 54(2):398-403. Ma Naibai, Jin Shenglin, Yang Ruizhao, et al. Seismic Response Characteristics and Identification of Fault-Karst Reservoir in Shunbei Area, Tarim Basin[J]. Oil Geophysical Prospecting, 2019, 54(2):398-403.
[32] Farran H, Harris J, Al Jabri S H, et al. An Integrated Approach for Evaluating and Characterising Horizontal Well Inflow and Productivity in Heterogeneous Carbonate Reservoirs[C]//International Petroleum Technology Conference. International Petroleum Technology Conference, Doha:American Association of Petroleum Geologists, 2005.
[1] Sun Jianguo. Inversion of the Deep Sea Water Velocity by Using Munk Formulaand Seabed Reflection Travel Time [J]. Journal of Jilin University(Earth Science Edition), 2021, 51(1): 1-12.
[2] Shao Cairui, Yuan Ye, Zhang Fuming, Chen Guoxing, Cao Xianjun. A 2D Decomposition Real-Time Drawing Method for Geo-Steering of Logging While Drilling [J]. Journal of Jilin University(Earth Science Edition), 2021, 51(1): 256-265.
[3] Jia Zhuo, Liu Sixin, Zhao Xueran, Lu Qi, Li Hongqing, Wang Yuanxin. Complex 3D Model Establishment Under Undulating Surface and Gravity Anomaly Calculation [J]. Journal of Jilin University(Earth Science Edition), 2021, 51(1): 277-285.
[4] Zhou Cong, Tang Jingtian, Yuan Yuan, Li Guang, Xiao Xiao, Deng Juzhi. Spatial and Temporal Distribution Characteristics of Electromagnetic Fields in Strong Noise Area [J]. Journal of Jilin University(Earth Science Edition), 2020, 50(6): 1870-1886.
[5] Ruan Qingfeng, Liu Cai, Liu Junqing, Zhang Yu, Zheng Guodong. Analysis of Tectonic Mechanism of Songyuan M5.1 Earthquake on May 18, 2019 [J]. Journal of Jilin University(Earth Science Edition), 2020, 50(6): 1897-1904.
[6] Feng Kai, Qin Ce. Anisotropy Forward Modeling of Magnetotelluric(MT) Adaptive Finite Element [J]. Journal of Jilin University(Earth Science Edition), 2020, 50(6): 1887-1896.
[7] Zheng Yujun, Hou Zhenlong, Gong Enpu, Zhang Yongli. Correlation Imaging Method with Joint Multiple Gravity Gradiometry Data Based on Depth Weighting [J]. Journal of Jilin University(Earth Science Edition), 2020, 50(4): 1197-1210.
[8] Bao Suxin, Dong Bingyuan, Pei Yifeng, Rong Liangliang, Qiu Longqing, Du Shangyu. Application of Low Temperature TEM to Geological Exploration in Siziwangqi, Inner Mongolia [J]. Journal of Jilin University(Earth Science Edition), 2020, 50(4): 1211-1218.
[9] Da Shujin, Li Xuegui, Dong Hongli, Li Hanyang. Summary of Microseismic Location Methods [J]. Journal of Jilin University(Earth Science Edition), 2020, 50(4): 1228-1239.
[10] Tian Yanan, Wang Huanyu, Wang Xin, Huang Jiajun, Zhang Qiang. Time-Spectral Entropy Method for Picking Up Fracturing Microseismic Data [J]. Journal of Jilin University(Earth Science Edition), 2020, 50(4): 1219-1227.
[11] Li Qicheng, Guo Lei, He Shugeng, Min Ye. An Improved t0 Method for Determining Normal Depth of Refractive Surface [J]. Journal of Jilin University(Earth Science Edition), 2020, 50(3): 905-910.
[12] Sun Yong, Yu Ping, Wang Xinyue, Huang Danian. Correction of Self-Gradient in Airborne Gravity Gradient Measurement Based on Multiple Linear Regression [J]. Journal of Jilin University(Earth Science Edition), 2020, 50(3): 883-894.
[13] Wang Tiexing, Wang Deli, Sun Jing, Hu bin, Liu Sixiu. Separation and Primary Estimation of Blended Data by 3D Sparse Inversion [J]. Journal of Jilin University(Earth Science Edition), 2020, 50(3): 895-904.
[14] Qin Min, Shen Huilin, Ding Lei, Liu Huan, Huang Xinxiong, Zhang Limin. Determining Mixed Liquid Resistivity of Water-Flooded Reservoir Based on Micro-Element Dynamic Material Balance Model [J]. Journal of Jilin University(Earth Science Edition), 2020, 50(3): 919-928.
[15] Yu Yang, Wang Zhuwen, Ning Qinqin, Xu Fanghui. Logging Evaluation of In-Situ Leachable Sandstone Uranium Mineralization in Sifangtai Formation of Daqing Placanticline, Songliao Basin [J]. Journal of Jilin University(Earth Science Edition), 2020, 50(3): 929-940.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © Journal of Jilin University(Earth Science Edition), All Rights Reserved.
Tel: +86-431-88502374；13756165364　E-mail: xuebao1956@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd