An intelligent automatic correlation method of oilbearing strata based on pattern constraints:An example of accretionary stratigraphy of Shishen 100 block in Shinan Oilfield of Bohai Bay Basin,East China  

作　　者：WU Degang WU Shenghe LIU Lei SUN Yide 

机构地区：[1]College of Artificial Intelligence,China University of Petroleum(Beijing),Beijing 102249,China [2]College of Geosciences,China University of Petroleum(Beijing),Beijing 102249,China [3]Oil and Gas Development Management Center of Shengli Oilfield,Dongying 257000,China

出　　处：《Petroleum Exploration and Development》2024年第1期180-192,共13页石油勘探与开发（英文版）

基　　金：Supported by the National Natural Science Foundation of China(42272110);CNPC-China University of Petroleum(Beijing)Strategic Cooperation Project(ZLZX2020-02).

摘　　要：Aiming at the problem that the data-driven automatic correlation methods which are difficult to adapt to the automatic correlation of oil-bearing strata with large changes in lateral sedimentary facies and strata thickness,an intelligent automatic correlation method of oil-bearing strata based on pattern constraints is formed.We propose to introduce knowledge-driven in automatic correlation of oil-bearing strata,constraining the correlation process by stratigraphic sedimentary patterns and improving the similarity measuring machine and conditional constraint dynamic time warping algorithm to automate the correlation of marker layers and the interfaces of each stratum.The application in Shishen 100 block in the Shinan Oilfield of the Bohai Bay Basin shows that the coincidence rate of the marker layers identified by this method is over 95.00%,and the average coincidence rate of identified oil-bearing strata reaches 90.02% compared to artificial correlation results,which is about 17 percentage points higher than that of the existing automatic correlation methods.The accuracy of the automatic correlation of oil-bearing strata has been effectively improved.

关 键 词：oil-bearing strata automatic correlation contrastive learning stratigraphic sedimentary pattern marker layer similarity measuring machine conditional constraint dynamic time warping algorithm 

分 类 号：TE321[石油与天然气工程—油气田开发工程]