Studying the Lithology Identification Method from Well logs Based on DE-SVM
Identify the rock lithology has important meaning for estimating the reserve of petroleum, adopting proper drilling technology and improving recovery.The lithology identification from well log based on DE-SVM was proposed and studied. After digitization and collection the data of the well logs and cores observation results, the mapping model between well logs and strata lithology is established by Support vector machine(SVM), so the strata lithology of wells without rock cores can be automatically gotten by well logs. Because the penal factor c and kernel parameter affect the identification accuracy evidently, the global optimization arithmetic-difference evolutionary (DE) is coupled with SVM to optimize above parameters in order to improve the performance of SVM model. The model theory and algorithm are discussed as well as the true example is calculated, it is stated that the proposed method is feasible and can get satisfied results.
Lithology Identification Well Logging Support Vector Machine Difference Evolutionary
Jiang An-nan Jin Lu
Traffic and Logistics College, Dalian Maritime University, Dalian 116026, China Resource and Civil Engineering College of Northeastern, Shenyang, 110004, China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
2314-2318
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）