层理性页岩声波各向异性校正方法研究

doi:10.13809/j.cnki.cn32-1825/te.2020.05.007

Abstract

Abstract:

The physical and mechanical properties of bedding shales show strong anisotropy, which leads to the significant difference in the logging response of the same formation between the vertical wells and the horizontal wells, and bringing the difficulties in regional reservoir evaluation. Based on the numerical simulations, the influence of orientation and density of bedding on the anisotropy of longitudinal wave has been analyzed, and a correction model for longitudinal wave of shale in Longmaxi formation has been built. Then, combined with the indoor compression wave experiment, the rationality of this new model has been analyzed. The results show that, the longitudinal wave anisotropy of shales in Longmaxi formation is obvious, and the coefficient of longitudinal wave is around 1.088 ~ 1.109. The coefficient of longitudinal wave anisotropy has a quadratic polynomial relation with the sine of the bedding angle, and the anisotropic coefficient increases linearly with the increase of bedding density. Application examples show that this new model can reasonably correct the acoustic response of horizontal wells to that of vertical wells.

Key words: numerical simulation, shale, elastic anisotropy, anisotropic correction, longitudinal wave

CLC Number:

TE132

LI Xiansheng,LIU Xiangjun,LIANG Lixi,LI Wei,GAO Yang,XIONG Jian. Correction methods for acoustic anisotropy of bedding shale[J].Reservoir Evaluation and Development, 2020, 10(5): 49-54.

Figures/Tables 10

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Table 1

Fig. 7

Fig. 8

Fig. 9

References 21

[1]	邹才能, 杨智, 何东博, 等. 常规-非常规天然气理论、技术及前景[J]. 石油勘探与开发, 2018,45(4):575-587.
	ZOU C N, YANG Z, HE D B, et al. Theory, technology and prospects of conventional and unconventional natural gas[J]. Petroleum Exploration and Development, 2018,45(4):575-587.
[2]	戴金星, 秦胜飞, 胡国艺, 等. 新中国天然气勘探开发70年来的重大进展[J]. 石油勘探与开发, 2019,45(6):1-10.
	DAI J X, QING S F, HU G Y, et al. Major progress in the natural gas exploration and development in the past seven decades in China[J]. Petroleum Exploration and Development, 2019,45(6):1-10.
[3]	侯振坤, 杨春和, 郭印同, 等. 单轴压缩下龙马溪组页岩各向异性特征研究[J]. 岩土力学, 2015,36(9):2541-2550.
	HOU Z K, YANG C H, GUO Y T, et al. Experimental study on anisotropic properties of Longmaxi formation shale under uniaxial compression[J]. Rock and Soil Mechanics, 2015,36(9):2541-2550.
[4]	LI W, SCHMITT D R, ZOU C C , et al. A program to calculate pulse transmission responses through transversely isotropic media[J]. Computers and Geosciences, 2018,114:59-72. doi: 10.1016/j.cageo.2018.02.002
[5]	MOHAMMAD K Z, NAZMUL H M, JAHREN J . Velocity anisotropy of Upper Jurassic organic-rich shales, Norwegian Continental Shelf[J]. Geophysics, 2017,82(2):61-75.
[6]	GONG F, DI B R, WEI J X , et al. Experimental investigation of the effects of clay content and compaction stress on the elastic properties and anisotropy of dry and saturated synthetic shale[J]. Geophysics, 2018,83(5):195-208.
[7]	GONG F, DI B R, WEI J X , et al. Ultrasonic velocity and mechanical anisotropy of synthetic shale with different types of clay minerals[J]. Geophysics, 2018,83(2):57-66.
[8]	艾池, 仇德智, 张军, 等. 页岩力学参数测试及脆性各向异性研究[J]. 断块油气田, 2017,24(5):647-651.
	AI C, QIU D Z, ZHANG J, et al. Measurements of mechanical parameters and brittleness anisotropy of shale[J]. Fault-Block Oil and Gas Filed, 2017,24(5):647-651.
[9]	汪虎, 郭印同, 王磊, 等. 不同深度页岩储层力学各向异性的试验研究[J]. 岩土力学, 2017,38(9):2496-2506.
	WNAG H, GUO Y T, WANG L, et al. An experimental study on mechanical anisotropy of shale reservoirs at different depths[J]. Rock and Soil Mechanics, 2017,38(9):2496-2506.
[10]	高德利. 大型丛式水平井工程与山区页岩气高效开发模式[J]. 天然气工业, 2018,38(8):1-7.
	GAO D L. A high-efficiency development mode of shale gas reservoirs in mountainous areas based on large cluster horizontal well engineering[J]. Natural Gas Industry, 2018,38(8):1-7.
[11]	焦方正. 页岩气“体积开发”理论认识、核心技术与实践[J]. 天然气工业, 2019,39(5):1-14.
	JIAO F Z. Theoretical insights, core technologies and practices concerning “volume development” of shale gas in China[J]. Natural Gas Industry, 2019,39(5):1-14.
[12]	耿尊博. 大斜度井与水平井孔隙度测井曲线校正技术研究[D]. 北京:中国石油大学, 2011.
	GENG Z B. Research on correction technique of porosity logging curves in high angle deviated wells and horizontal wells[D]. Beijing: China University of Petroleum, 2011.
[13]	HORNBY B E, HOWIEZ J M, INCE D W . Anisotropy correction for deviated-well sonic logs: Application to seismic well tie[J]. Geophysics, 2003,68(2):464-471. doi: 10.1190/1.1567212
[14]	乔悦东, 孙建孟, 耿尊博. 斜井泥岩声波速度各向异性校正新方法研究[J]. 石油天然气学报, 2010,32(5):104-108.
	QIAO Y D, SUN J M, GENG Z B. New methods of shale acoustic velocity anisotropy correction in deviated wells[J]. Journal of Oil and Gas Technology, 2010,32(5):104-108.
[15]	刘劲歌, 樊洪海, 沙昱良, 等. 斜井测井声波检测孔隙压力校正方法研究[J]. 钻采工艺, 2015,38(1):25-28.
	LIU J G, FAN H H, SHA Y L, et al. Research on pore pressure detection using deviated well acoustic waves[J]. Drilling and Production Technology, 2015,38(1):25-28.
[16]	时建超, 屈雪峰, 雷启鸿, 等. 致密油水平井声波时差测井影响因素分析及测井响应特征研究——以鄂尔多斯盆地陇东地区长7储层为例[J]. 西北大学学报(自然科学版), 2017,47(4):585-592.
	SHI J C, QU X F, LEI Q H, et al. The influencing factors and response characteristics of acoustic time logging in tight oil horizontal well: A case study of Chang 7 reservoir in logging area of Ordos Basin[J]. Journal of Northwest University(Natural Science Edition), 2017,47(4):585-592.
[17]	董大忠, 施振生, 管全中, 等. 四川盆地五峰组—龙马溪组页岩气勘探进展、挑战与前景[J]. 天然气工业, 2018,38(4):67-76.
	DONG D Z, SHI Z S, GUANG Q Z, et al. Progress, challenges and prospects of shale gas exploration in the Wufeng-Longmaxi reservoirs in the Sichuan Basin[J]. Natural Gas Industry, 2018,38(4):67-76.
[18]	汪虎, 何治亮, 张永贵, 等. 四川盆地海相页岩储层微裂缝类型及其对储层物性影响[J]. 石油与天然气地质, 2019,40(1):41-49.
	WANG H, HE Z L, ZHANG Y G, et al. Microfracture types of marine shale reservoir of Sichuan Basin and its influence on reservoir property[J]. Oil and Gas Geology, 2019,40(1):41-49.
[19]	段茜, 刘向君. 实验室尺度下气水两相裂缝型介质弹性波速度的数值模拟分析[J]. 石油物探, 2017,56(3):338-348.
	DUAN X, LIU X J. Numerical simulation of elastic wave velocity in gas-water two-phase rock from fractured model[J]. Geophysical Prospecting for Petroleum, 2017,56(3):338-348.
[20]	李贤胜, 刘向君, 熊健, 等. 层理对页岩纵波特性的影响[J]. 岩性油气藏, 2019,31(3):152-160.
	LI X S, LIU X J, XIONG J, et al. Influence of bedding on compressional wave characteristics of shales[J]. Lithologic Reservoir, 2019,31(3):152-160.
[21]	陈乔, 徐烽淋, 程亮, 等. 基于黏弹性介质波动理论的页岩超声波数值模拟[J]. 天然气工业, 2019,39(6):63-70.
	CHEN Q, XUN F L, CHENG L, et al. Shale ultrasonic numerical simulation based on the viscoelastic medium wave theory[J]. Natural Gas Industry, 2019,39(6):63-70.

岩心编号	密度/ （g·cm^-3）	层理角度/ （° ）	层理密度/ （条·mm^-1）	平行层理方向波速/ （m·s^-1）	与层理呈一定角度波速/（m·s^-1）	纵波各向异性系数K_c
L1	2.54	45	0.61	4 352	4 735	1.088
L2	2.52	60	0.60	4 326	4 760	1.101
L3	2.50	75	0.65	4 292	4 760	1.109

Correction methods for acoustic anisotropy of bedding shale

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 10

References 21

Related Articles 15

Metrics

Comments

Recommended 10

[1]	CUI Yudong, LU Cheng, GUAN Ziyue, LUO Wanjing, TENG Bailu, MENG Fanpu, PENG Yue. Effects of creep on depressurization-induced gas well productivity in South China Sea natural gas hydrate reservoirs [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(6): 809-818.
[2]	HE Haiyan, LIU Xianshan, GENG Shaoyang, SUN Junchang, SUN Yanchun, JIA Qian. Numerical simulation of UGS facilities rebuilt from oil reservoirs based on the coupling of seepage and temperature fields [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(6): 819-826.
[3]	LIANG Yunpei, ZHANG Huaijun, WANG Lichun, QIN Chaozhong, TIAN Jian, CHEN Qiang, SHI Bowen. Numerical simulation of flow fields and permeability evolution in real fractures under continuous loading stress [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(6): 834-843.
[4]	YAO Hongsheng, WANG Wei, HE Xipeng, ZHENG Yongwang, NI Zhenyu. Development practices of geology-engineering integration in complex structural area of Nanchuan normal pressure shale gas field [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(5): 537-547.
[5]	LI Jingchang, LU Ting, NIE Haikuan, FENG Dongjun, DU Wei, SUN Chuanxiang, LI Wangpeng. Confidence evaluation of fractures seismic detection in shale gas formations on WY23 Pad in Weirong [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(5): 614-626.
[6]	XIA Haibang, HAN Kening, SONG Wenhui, WANG Wei, YAO Jun. Pore scale fracturing fluid occurrence mechanisms in multi-scale matrix-fracture system of shale gas reservoir [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(5): 627-635.
[7]	HOU Dali, HAN Xin, TANG Hongming, GUO Jianchun, GONG Fengming, SUN Lei, QIANG Xianyu. Primary research on expression of kerogen in Longmaxi Shale and its adsorption characteristics [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(5): 636-646.
[8]	HAN Kening, WANG Wei, FAN Dongyan, YAO Jun, LUO Fei, YANG Can. Production forecasting for normal pressure shale gas wells based on coupling of production decline method and LSTM model [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(5): 647-656.
[9]	XUE Gang, XIONG Wei, ZHANG Peixian. Genesis analysis and effective development of normal pressure shale gas reservoir: A case of Wufeng-Longmaxi shale gas reservoir in southeast margin of Sichuan Basin [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(5): 668-675.
[10]	LOU Zhanghua, ZHANG Xinke, WU Yuchen, GAO Yuqiao, ZHANG Peixian, JIN Aimin, ZHU Rong. Fluid response characteristics of shale gas preservation differences in Nanchuan and its adjacent blocks in Sichuan Basin [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(4): 451-458.
[11]	HU Zhijian, LI Shuxin, WANG Jianjun, ZHOU Hong, ZHAO Yulong, ZHANG Liehui. Productivity evaluation of multi-stage fracturing horizontal wells in shale gas reservoir with complex artificial fracture occurrence [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(4): 459-466.
[12]	LIN Hun, SUN Xinyi, SONG Xixiang, MENG Chun, XIONG Wenxin, HUANG Junhe, LIU Hongbo, LIU Cheng. A model for shale gas well production prediction based on improved artificial neural network [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(4): 467-473.
[13]	LIU Honglin,ZHOU Shangwen,LI Xiaobo. Application of PCA plus OPLS method in rapid reserve production rate prediction of shale gas wells [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(4): 474-483.
[14]	YANG Bing, FU Qiang, GUAN Jingtao, LI Linxiang, PAN Haoyu, SONG Hongbin, QIN Tingting, ZHU Zhiwei. Oil displacement efficiency based on different well pattern adjustment simulation in high water cut reservoirs [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(4): 519-524.
[15]	CHEN Xiulin, WANG Xiuyu, XU Changmin, ZHANG Cong. CO₂ sequestration morphology and distribution characteristics based on NMR technology and microscopic numerical simulation [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(3): 296-304.