Research and application of shale oil fracture prediction method based on dynamic time warping algorithm

doi:10.3969/j.issn.1006-6535.2025.01.007

Abstract

Abstract: The continental faulted lake basin in Jiyang Depression is rich in shale oil and gas resources,with great potential for exploration and development and developed fractures.However,due to the development of fractures,frequent well kicks and lost circulation during drilling seriously affect the drilling efficiency,and it is urgent to improve the prediction accuracy of fractures.To address of this issue,the dynamic time warping algorithm is used to calculate the integer time shift,correct the residual anisotropic time difference in the prestack gather,and improve the resolution of the seismic data.Based on the time difference caused by the propagation of the seismic longitudinal wave in the anisotropic medium,the azimuthal anisotropy direction and relative intensity are determined,and finally the development direction and development density of the fracture are determined.This method does not rely on ellipse fitting, and directly regards the anisotropic time difference as the data matching problem of integer time shift.Compared with the pre-stack anisotropic inversion module in commercial software,it effectively solves the problem of multiple solutions of fracture prediction.The prediction results are compared with the imaging logging interpretation results of real drilling and the abnormal drilling speed and the location of gushing and leaking in the drilling process.The prediction rate reaches 85%,which proves that the method has high reliability in predicting fractures.This prediction method can provide strong technical support for the efficient development of shale oil in the future.

Key words: shale oil, fracture prediction, dynamic time warping algorithm, anisotropic direction, anisotropic strength, Niuzhuang Subsag

CLC Number:

TE132.2

WANG Jing, SHU Qinglin, DU Yushan, ZHANG Qiang, ZHANG Yuliang, ZHU Huiyong. Research and application of shale oil fracture prediction method based on dynamic time warping algorithm[J]. Special Oil & Gas Reservoirs, 2025, 32(1): 61-70.

References

[1] 彭艳霞,杜玉山,蒋龙,等.济阳坳陷缓坡带页岩油储层微观孔隙结构及分形特征[J].断块油气田,2023,30(4):535-544.
PENG Yanxia,DU Yushan,JIANG Long,et al.Micropore structure and fractal characteristics of shale oil reservoir in gentle slope zone of Jiyang Depression[J].Fault-Block Oil & Gas Field,2023,30(4):535-544.
[2] 李雷涛,肖秋红,肖伟.优化的方位各向异性裂缝预测方法及应用[J].断块油气田,2016,23(4):455-459.
LI Leitao,XIAO Qiuhong,XIAO Wei.An optimized method of fracture prediction based on P-wave anisotropy and its application[J].Fault-Block Oil & Gas Field,2016,23(4):455-459.
[3] MARFURT K J,KIRLIN R L,FARMER S L,et al.3-D seismic attributes using a semblance-based coherency algorithm[J].Geophysics,1998,63(4):1150-1165.
[4] WU X M. Directional structure-tensor-based coherence to detect seismic faults and channels [J].Geophysics,2017, 82 (2): A13-A17.
[5] SIGISMONDI M,SOLDO J C.Curvature attributes and seismic interpretation:case studies from Argentina Basins [J].The Leading Edge,2003,22(11):1122-1126.
[6] WANG Shangxu,YUAN Sanyi,WANG Tieyi,et al.Three-dimensional geosteering coherence attributes for deep-formation discontinuity detection[J].Geophysics,2018,83(6):1-50.
[7] RUGER A.P-wave reflection coefficients for transversely isotropic models with vertical and horizontal axis of symmetry[J].Geophysics,1997,62(3):713-722.
[8] RUGER A.Variation of P-wave reflectivity with offset and azimuth in anisotropic media [J].Geophysics,1998,63(3):935-947.
[9] 朱培民,王家映,於文军,等.用纵波AVO数据反演储层裂隙密度参数[J].石油物探,2001,40(2):1-12.
ZHU Peimin,WANG Jiaying,YU Wenjun,et al.Inverting reservoir fracture density using P-wave AVO data[J].Geophysical Prospecting for Petroleum,2001,40(2):1-12.
[10] SCHOENBERG M.Elastic wave behavior across linear slip interfaces[J].Journal of the Acoustical Society of America,1980,68(5):1516-1521.
[11] SCHOENBERG M.Reflection of elastic waves from periodically stratified mediawith interfacial SLIP[J].Geophysical Prospecting,1983,31(2):265-292.
[12] BACHRACH R, SENGUPTA M, SALAMA A,et al.Reconstruction of the layer anisotropic elastic parameters and high-resolution fracture characterization from P-wave data: a case study using seismic inversion and Bayesian rock physics parameter estimation [J].Geophysical Prospecting,2009,57(2):253-262.
[13] 陈怀震,印兴耀,张金强,等.基于方位各向异性弹性阻抗的裂缝岩石物理参数反演方法研究[J].地球物理学报,2014,57(10):3431-3441.
CHEN Huaizhen,YIN Xingyao,ZHANG Jinqiang,et al.Seismic inversion for fracture rock physics parameters using azimuthally anisotropic elastic impedance[J].Chinese Journal of Geophysics,2014,57(10):3431-3441.
[14] HUDSON J A.Wave speeds and attenuation of elastic waves in material containing cracks[J].Geophysical Journal of the Royal Astronomical Society,1981,64(1):133-150.
[15] CHAPMAN M,LIU E,LI X Y.The influence of abnormally high reservoir attenuation on the AVO signature[J].The Leading Edge,2005, 23(11):1120-1125.
[16] ANDERSON K,GABY J.Dynamic waveform matching[J].Information Sciences,1983,31(3):221-242.
[17] HALE D.Dynamic warping of seismic images[J].Geophysics,2013,78(2):S105-S115.
[18] 罗红梅,王长江,刘书会,等.深度域高精度井震动态匹配方法[J].石油地球物理勘探,2018,53(5):997-1005.
LUO Hongmei,WANG Changjiang,LIU Shuhui,et al.Well-to-seismic calibration in the depth domain using dynamic depth warping[J].Oil Geophysical Prospecting,2018,53(5):997-1005.
[19] 吴天麒,王云专,郭雪豹,等.基于互相关改进的DTW在角道集叠加优化中的应用[J].地球物理学进展,2020,35(5):1878-1887.
WU Tianqi,WANG Yunzhuan,GUO Xuebao,et al.The application of improved Dynamic Time Warping in angle-domain gather stacking[J].Progress in Geophysics,2020,35(5):1878-1887.
[20] ZHAO X W,WANG S X,YUAN S Y,et al.Multichannel sparse spike deconvolution based on dynamic tim e warping [J].Acta Geophysica,2021,69(5):783-793.
[21] 董林,宋维琪,胡建林,等.动态时间规整的断层增强方法[J].石油地球物理勘探,2021,56(3):574-582.
DONG Lin,SONG Weiqi,HU Jianlin,et al.A fault enhancing method based on dynamic time warping[J].Oil Geophysical Prospecting,2021,56(3):574-582.
[22] GRECHKA V,TSVANKIN I.3-D description of normal moveout in anisotropic inhomogenous media[J].Geophysics,1998,63(3):1079-1092.
[23] DECKER L,ZHANG Q.Quantifying and correcting residual azimuthal anisotropic moveout in image gathers using dynamic time warping [J].Geophysics,2020,85(5):71-82.
[24] SUBHASHIS Mallick,KENNETH L Craft,LAURENT J Meister,et al.Computation of principal directions of azimuthal anisotropy from P-wave seismic data[J].Exploration Geophysics,1997,28(4):1862-1865.