Similarity measure of sedimentary successions and its application in inverse stratigraphic modeling

作     者：Taizhong Duan 

作者机构：Petroleum Exploration and Production Research InstituteSinopec 31 Xueyuan Road Haidian District Beijing 100083China 

出 版 物：《Petroleum Science》 (石油科学（英文版）)

年 卷 期：2017年第14卷第3期

页      面：484-492页

核心收录：

学科分类：081803[工学-地质工程] 0709[理学-地质学] 0819[工学-矿业工程] 0808[工学-电气工程] 08[工学] 0820[工学-石油与天然气工程] 0707[理学-海洋科学] 0817[工学-化学工程与技术] 0818[工学-地质资源与地质工程] 0708[理学-地球物理学] 0807[工学-动力工程及工程热物理] 0815[工学-水利工程] 0816[工学-测绘科学与技术] 0827[工学-核科学与技术] 0813[工学-建筑学] 0703[理学-化学] 0814[工学-土木工程] 0825[工学-航空宇航科学与技术] 0704[理学-天文学] 

基　　金：financially was supported by Colorado School of Mines supported by the Science and Technology Ministry of China (2016ZX05033003) China Academy of Sciences (XDA14010204) Sinopec (G5800-15-ZS-KJB016) 

主　　题：Similarity quantification Sedimentarysuccession Inverse stratigraphic modeling Globaloptimilization Syntactic approach 

摘      要：This paper presents a unique and formal method of quantifying the similarity or distance between sedimentary facies successions from measured sections in outcrop or drilled wells and demonstrates its first application in inverse stratigraphic modeling. A sedimentary facies succession is represented with a string of symbols, or facies codes in its natural vertical order, in which each symbol brings with it one attribute such as thickness for the facies. These strings are called attributed strings. A similarity measure is defined between the attributed strings based on a syntactic pattern-recognition technique. A dynamic programming algorithm is used to calculate the similarity. Inverse stratigraphic modeling aims to generate quantitative 3D facies models based on forward stratigraphic modeling that honors observed datasets. One of the key techniques in inverse stratigraphic modeling is how to quantify the similarity or distance between simulated and observed sedimentary facies successions at data locations in order for the forward model to condition the simulation results to the observed dataset such as measured sections or drilled wells. This quantification technique comparing sedimentary successions is demonstrated in the form of a cost function based on the defined distance in our inverse stratigraphic modeling implemented with forward modeling optimization.