Principal Slip Zone determination in the Wenchuan earthquake Fault Scientifc Drilling project hole 1: considering the Bayesian discriminant function

• Autorzy: Fang Sinan , Zhang Zhansong , Wang Zhi , Pan Heping , Du Ting

Identyfikatory

DOI

10.1007/s11600-020-00496-z

• Języki publikacji: EN

Abstrakty

EN

Accurate determination of the Principal Slip Zone (PSZ) of earthquake fault zones is a key task of earthquake Fault Scientifc Drilling for future earthquake control. The fault zone structure of Wenchuan earthquake is complex, and there are many strong earthquakes recorded on the fault zone, which make determining the PSZ in the Wenchuan earthquake Fault Scientifc Drilling project-hole 1 (WFSD-1) difcult. At present, core analysis of whole coring is the decisive method for determining PSZ depth, and the fresh fault gouge at 589.2 m is the PSZ in WFSD-1. Abundant and comprehensive logging data can only be used as evidence to judge the PSZ. Based on the discrimination function and hyperplane equation in Bayes ian discriminant classifcation, we derive a new algorithm for computing the PSZ possibility using a Bayesian Discrimina tion function (PSZP-BDF) based on the simplifed model, and set up a mode to determine the PSZ directly using machine learning of well logging. For the verifcation of WFSD-1, the fault gouges are successfully identifed and the PSZ depth is accurately located. The algorithm objectively learns the sample data, which is naturally adaptive to the region. The calculation procedure is simple and does not require expensive coring data or heavy core tests in the well. The calculation speed is fast, using multiple physical data types. The PSZP-BDF algorithm is suitable for processing and interpreting earthquake fault scientifc drilling data.

Słowa kluczowe

EN

Bayesian discrimination; logging; Wenchuan earthquake Fault Scientific Drilling; WFSD; Principal Slip Zone; PSZ

PL

dyskryminacja bayesowska

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2020
• Tom: Vol. 68, no. 6
• Strony: 1595--1607
• Opis fizyczny: Bibliogr. 31 poz.

Twórcy

autor

Fang Sinan

• Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan, China
• College of Geophysics and Petroleum Resources, Yangtze University, Wuhan, China

autor

Zhang Zhansong

• Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan, China
• College of Geophysics and Petroleum Resources, Yangtze University, Wuhan, China

autor

Wang Zhi

• Electronics and Information School, Yangtze University, Jingzhou, China

autor

Pan Heping

• Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China

autor

Du Ting

• College of Geophysics and Petroleum Resources, Yangtze University, Wuhan, China

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