responseanalysisofshalebeddingstructuretoultrasoniccharacteristicsanditsapplication

	responseanalysisofshalebeddingstructuretoultrasoniccharacteristicsanditsapplication
	Xu FL(徐烽淋)4; Chen Q(陈乔)3 ; Zhu HL(朱洪林)3 ; Wang D(王丹)4; Chen JL(陈吉龙)3 ; Liu P(刘璞)4; Yao GH(姚光华)2; Zhang K(张阔)3; Huo ZY(霍振永)1
刊名	petroleumexplorationanddevelopment
	2019
卷号	46 期号:1 页码:82
ISSN号	1000-0747
英文摘要	Based on the wave theory, different bedding structure models for shales in Lower Silurian Longmaxi Formation of southeastern Chongqing area were established, numerical simulations of responses of different bedding structures of shale to ultrasonic wave were carried out by using the second order in time and fourth order in space grid finite difference method, based on the grey system theory, sensitive factors of acoustic parameters of bedding structure were selected, and the dynamic mechanical parameter model of bedded shale was established, which was verified by the ultrasonic transmission experiment results on core down Well ZY1 and YY1 and the logging data of Well ZY2. The results show that: (1) The correlation coefficient between analog and experimental waveforms is greater than 80%, indicating that the numerical simulation method can effectively simulate ultrasonic transmission experiment. (2) Acoustic velocity is a conventional sensitive factor used to characterize shale bedding structure, whereas the attenuation coefficient is sensitive to the change of bedding thickness, with correlation coefficient of 0.89, therefore, using the normalized results of attenuation coefficient to comprehensively describe the shale bedding can make the results more accurate. (3) The correlation between the dynamic and static parameters calculated by the model is better than that of the traditional model; and the predicted values of rock mechanics obtained by using the model and logging data inversion are in good agreement with the experimental values. The research results lay the foundation for further accurate prediction of rock mechanic parameters using sonic logging data.
资助项目	[National Natural Science Foundation of China] ; [Fuling District S&T Program (FLKJ)]
语种	英语
内容类型	期刊论文
源URL	[http://119.78.100.138/handle/2HOD01W0/9004]
专题	中国科学院重庆绿色智能技术研究院
作者单位	1.中国石油天然气股份有限公司西南油气田分公司蜀南气矿 2.重庆矿产资源资源开发有限公司 3.中国科学院重庆绿色智能技术研究院 4.重庆市涪陵页岩气环保研发与技术服务中心
推荐引用方式 GB/T 7714	Xu FL,Chen Q,Zhu HL,et al. responseanalysisofshalebeddingstructuretoultrasoniccharacteristicsanditsapplication[J]. petroleumexplorationanddevelopment,2019,46(1):82.
APA	徐烽淋.,陈乔.,朱洪林.,王丹.,陈吉龙.,...&霍振永.(2019).responseanalysisofshalebeddingstructuretoultrasoniccharacteristicsanditsapplication.petroleumexplorationanddevelopment,46(1),82.
MLA	徐烽淋,et al."responseanalysisofshalebeddingstructuretoultrasoniccharacteristicsanditsapplication".petroleumexplorationanddevelopment 46.1(2019):82.