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Principal Slip Zone determination in the Wenchuan earthquake Fault Scientific Drilling project-hole 1: considering the Bayesian discriminant function
Acta Geophysica ( IF 2.0 ) Pub Date : 2020-10-13 , DOI: 10.1007/s11600-020-00496-z
Sinan Fang , Zhansong Zhang , Zhi Wang , Heping Pan , Ting Du

Accurate determination of the Principal Slip Zone (PSZ) of earthquake fault zones is a key task of earthquake Fault Scientific 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 Scientific Drilling project-hole 1 (WFSD-1) difficult. 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 Bayesian discriminant classification, we derive a new algorithm for computing the PSZ possibility using a Bayesian Discrimination function (PSZP-BDF) based on the simplified model, and set up a mode to determine the PSZ directly using machine learning of well logging. For the verification of WFSD-1, the fault gouges are successfully identified 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 scientific drilling data.



中文翻译:

汶川地震断裂科学钻探项目孔1中主要滑动带的确定:考虑贝叶斯判别函数

准确确定地震断裂带的主滑带(PSZ)是“地震断裂科学钻探”对未来地震控制的关键任务。汶川地震的断层带结构复杂,断层带上记录有很多强地震,这使得确定汶川地震断层科学钻探工程一号洞(WFSD-1)的PSZ困难。目前,对整个取心进行岩心分析是确定PSZ深度的决定性方法,而在WFSD-1中589.2 m处的新鲜断层泥是PSZ。丰富而全面的测井数据只能作为判断PSZ的依据。根据贝叶斯判别分类中的判别函数和超平面方程,我们在简化模型的基础上,导出了一种使用贝叶斯判别函数(PSZP-BDF)来计算PSZ可能性的新算法,并建立了一种通过测井机器学习直接确定PSZ的模式。为了验证WFSD-1,成功地确定了断层,并精确定位了PSZ深度。该算法可以客观地学习样本数据,该样本数据自然适合该区域。计算过程很简单,不需要昂贵的取芯数据或井中的重岩心测试。使用多种物理数据类型,计算速度很快。PSZP-BDF算法适用于处理和解释地震断层科学钻探数据。为了验证WFSD-1,成功地确定了断层,并精确定位了PSZ深度。该算法可以客观地学习样本数据,该样本数据自然适合该区域。计算过程很简单,不需要昂贵的取芯数据或井中的重岩心测试。使用多种物理数据类型,计算速度很快。PSZP-BDF算法适用于处理和解释地震断层科学钻探数据。为了验证WFSD-1,成功地确定了断层,并精确定位了PSZ深度。该算法可以客观地学习样本数据,该样本数据自然适合该区域。计算过程很简单,不需要昂贵的取芯数据或井中的重岩心测试。使用多种物理数据类型,计算速度很快。PSZP-BDF算法适用于处理和解释地震断层科学钻探数据。使用多种物理数据类型。PSZP-BDF算法适用于处理和解释地震断层科学钻探数据。使用多种物理数据类型。PSZP-BDF算法适用于处理和解释地震断层科学钻探数据。

更新日期:2020-10-13
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