Forward analysis of array laterolog and rapid correction of environmental factors
Jin FENG1, Xiao-Wei NI2, Qing YANG1, Yao GUAN1, Di-Ren LIU3,4()
1. Shenzhen Branch of CNOOC (China) Co., Ltd., Shenzhen 518054, China 2. Tarim Oilfield Company,CNPC,Korla 841000,China 3. Key Laboratory of Exploration Technologies for Oil and Gas Resources of Ministry of Education, Yangtze University,Wuhan 430100,China 4. College of Geophysics and Oil Resources, Yangtze University, Wuhan 430100, China
Resistivity logging data constitute an important basis for qualitative division of oil and gas reservoirs and quantitative calculation of oil saturation. However, resistivity logging data are vulnerable to environmental factors, which results in distortion of resistivity logging data. Taking array laterolog instrument as an example and based on finite element numerical simulation method, te authors studied the influence of borehole, surrounding rock and mud intrusion on its response. The results show that MLR1, MLR2 and MLR3 are obviously affected by borehole diameter when the borehole diameter is greater than 8 minutes, MLR4 is basically not affected by borehole diameter, and EALT results in high resistance mud environment are seriously distorted. MLR1, MLR2, MLR3 and MLR4 are seriously affected by the thickness of the layer when the thickness of the layer is less than 0.4m. The larger the difference of resistivity between the surrounding rock and the target layer, the greater the influence of ELAT response. When the invasion radius is less than 30 minutes, R1-MLR3 is greatly affected. When the ratio of formation resistivity to invasion zone resistivity reaches 5,10,100, the apparent resistivity distortion can be higher than 50%. Based on forward analysis, the authors drew the correction chart of EALT wellbore, surrounding rock and mud invasion and propose a fast correction method for the complex correction chart of surrounding rock, which can provide some reference for the correction of environmental factors of EALT logging data.
Yang B, Pan M, Hou X L . The application of automatically identified and visual algorithm for folded lithologic cross-section in Ansai oil field[J]. Special Oil & Gas Reservoirs, 2017,24(4):98-100.
Ma Y S, Zhang J N, Zhao P R , et al. Requirement analysis and research direction for the geophysical prospecting technology of SINOPEC[J]. Geophysical Prospecting for Petroleum, 2016,55(1):1-9.
Liu D R, Wan W C, Xia P , et al. The response of dual laterolog to different borehole conditions in the horizontal well[J]. Geophysical and Geochemical Exploration, 2012,36(3):422-425.
Shu X, Ke S Z, Xu W , et al. Auto-correction of borehole effect for high-resolution array laterolog[J]. Fault-Block Oil and Gas Field, 2016,23(4):470-475.
Ni X W, Xu G Y, Bie K , et al. Array laterolog responseand rapid correction of the surrounding rock/layer thickness influence for highly deviated/horizontal wells[J]. Petroleum Geology & Oilfield Development in Daqing, 2018,37(2):144-151.
Wang X M, Wan W C, Zhao J W , et al. Characteristics of dual laterolog response of net-fracture reservoirs in horizontal well[J].Geophysical and Geochemical Exploration,2014,38(6):1218-1221.
Deng S G, Xu Y W, Jiang J L . Study on the array laterolog response of heterogeneous formation in deviated well[J]. Well Logging Technology, 2010,34(2):130-134.
Bie K, Xu G Y, Wan W C , et al. Application of differential evolution in dual laterolog and dual induction log joint inversion[J]. Well Logging Technology, 2015,39(6):704-709.
Wu J, Xie W W, Xie X C , et al. Forward response analysis of array lateral logging tool[J]. Journal of Xi’an Shi You University:Natural Science Edition, 2008,23(1):73-76.
Deng S G, Li Z Q, Fan Y R , et al. Numerical simulation of mud invasion and its array laterolog response in deviated wells[J]. Chinese Journal of Geophysics, 2010,53(4):994-1000.
Liu Z H, Hu Q . Calculation and characteristics of array laterlog responses[J]. Journal of Xi’an Shi You University:Natural Science Edition, 2002,17(1):53-57.
Pan K J, Wang W J, Tang J T , et al. Mathematical model and fast finite element modeling of high resolution array lateral logging[J]. Chinese Journal of Geophysics, 2013,56(9):3197-3211.
Deng S G, Li Z Q, Chen H , et al. The simulation and analysis of array lateral log response of fracture in coalbed methane reservoir[J]. Coal Geology & Exploration, 2010,38(3):55-60.
Fan Y R, Jiang J L, Deng S G , et al. Numerical simulation of high resolution array lateral logging responses[J]. Well Logging Technology, 2009,33(4):333-336.
Zhu P, Lin C Y, Li Z Q , et al. Numerical simulation of array laterolog response in horizontal and highly deviated wells[J]. Journal of Jilin University :Earth Science Edition, 2015,45(6):1862-1869.
Cheng W J, Xu Y C, He F , et al. Study on resistivity logging response of array lateral logging under radial gradual formation[J].Well Logging Technology, 2018( 3).
Xiao J Q, Zhang G Q . Forward modeling of double lateral logging response in horizontal wells and high-angle wells[J]. Journal of China University of Petroleum:Natural Science Edition, 1996(1):24-28.
Ni X W, Xu G Y, Feng J M , et al. Forward response of array lateral logging in anisotropic reservoir of inclined shaft[J]. Fault-Block Oil and Gas Field, 2017,24(5):637-641.