نتایج جستجو برای: lithology prediction

تعداد نتایج: 255286  

Journal: :Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine 2006
M Borsaru B Zhou T Aizawa H Karashima T Hashimoto

Different methods of lithology predictions from geophysical data have been developed in the last 15 years. The geophysical logs used for predicting lithology are the conventional logs: sonic, neutron-neutron, gamma (total natural-gamma) and density (backscattered gamma-gamma). The prompt gamma neutron activation analysis (PGNAA) is another established geophysical logging technique for in situ e...

The prediction of lithology is necessary in all areas of petroleum engineering. This means that to design a project in any branch of petroleum engineering, the lithology must be well known. Support vector machines (SVM’s) use an analytical approach to classification based on statistical learning theory, the principles of structural risk minimization, and empirical risk minimization. In this res...

Journal: :iranian journal of oil & gas science and technology 2015
mohammad ali sebtosheikh reza motafakkerfard mohammad ali riahi siyamak moradi

the prediction of lithology is necessary in all areas of petroleum engineering. this means that todesign a project in any branch of petroleum engineering, the lithology must be well known. supportvector machines (svm’s) use an analytical approach to classification based on statistical learningtheory, the principles of structural risk minimization, and empirical risk minimization. in thisresearc...

Journal: :Computers & Geosciences 2005
Bieng-Zih Hsieh Charles Lewis Zsay-Shing Lin

The purpose of this study is to construct a fuzzy lithology system from well logs to identify formation lithology of a groundwater aquifer system in order to better apply conventional well logging interpretation in hydro-geologic studies because well log responses of aquifers are sometimes different from those of conventional oil and gas reservoirs. The input variables for this system are the g...

Journal: :Journal of the Japanese Association for Petroleum Technology 2014

2008
Hugo Hammer Marit Ulvmoen

We consider a Bayesian model for doing lithology–fluid prediction from prestack (amplitude versus offset) seismic data. Related to the Bayesian model, we look at two inversion algorithms. The first algorithm simulates from the posterior distribution with no approximations, but the algorithm is quite computer demanding. The second inversion algorithm introduces an approximation in the likelihood...

2004
Ni Yi Zhang Kui

The acoustic impedance (AI) differences between gas-sand and shale are very small in SLG gas field of Western China. Therefore the lithologic prediction solely by AI inversion will lead to multi-solution problem. Ni proposed a new elastic impedance (EI) calculation method (Ni, 2003) to deal with the seismic inversion and the prediction of lithology and fluid. In this paper, we compared this met...

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