S-wave velocity prediction of marine-continental transitional coal measure rocks using multipole array sonic logs and the rock-matrix modulus extraction method

被引:0
|
作者
Wang, Siqi [1 ,2 ]
Zhang, Jianguo [1 ,3 ,4 ]
Yin, Shuai [5 ]
Han, Chao [2 ]
机构
[1] China Univ Geosci, Sch Energy Resource, Beijing 100083, Peoples R China
[2] Shandong Univ Sci & Technol, Coll Earth Sci & Engn, Qingdao 266510, Peoples R China
[3] Minist Educ, Key Lab Marine Reservoir Evolut & Hydrocarbon Enr, Beijing 100083, Peoples R China
[4] China Univ Geosci, Coal Reservoir Lab, Natl Engn Res Ctr CBM Dev & Utilizat, Beijing 100083, Peoples R China
[5] Xian Shiyou Univ, Sch Earth Sci & Engn, Xian 710065, Shaanxi, Peoples R China
来源
INTERPRETATION-A JOURNAL OF SUBSURFACE CHARACTERIZATION | 2019年 / 7卷 / 01期
基金
美国国家科学基金会;
关键词
IN-SITU STRESS; SLIP-FAULT ZONE; SANDSTONE RESERVOIR; ELASTIC PROPERTIES; QINSHUI BASIN; TARIM BASIN; FIELD; FRACTURES; POROSITY; STRATA;
D O I
10.1190/INT-2018-0033.1
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Accurate prediction of the S-wave velocity of highly heterogeneous coal measure strata using high-resolution logging can effectively identify high-quality reservoirs. We have used multipole array sonic logs to predict the S-wave velocity of coal measure strata based on the conventional empirical method (CEM), multiple regression method (MRM), and rock-matrix modulus extraction (MME) method. Moreover, we used a complex multiple parameter iterative computational method of forward calculation and inversion in the MME method. Our results indicate that the MME method can effectively extract several rock modulus parameters. There are good binomial relationships between the extracted rock modulus parameters (R-2 > 0.97) and between the extracted modulus parameters and the P-wave impedance (R-2 > 0.95). The average relative errors of the S-wave velocities predicted by the CEM, MRM, and MME methods are 7.58%, 5.64%, and 2.31%, respectively. The MME method can effectively extract and couple effective information from different types of conventional well logs and perform high-precision S-wave time difference prediction.
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页码:T241 / T253
页数:13
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