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A Study on the Classification and well-logging Identification of Eclogite in the Main Hole of Chinese Continental Scientific Drilling Project

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Journal of China University of Geosciences 2007年第4期18卷 357-365页

作者：景建恩魏文博金胜叶高峰邓明 Key Laboratory of Geo-detection (China University of Geosciences Beijing)Ministry of Education State Key Laboratory of Geological Processes and Mineral Resources China University of Geosciences School of Geophysics and Information Technology China University of Geosciences

Eclogite, one of the important lithologies in the main hole of the Chinese Continental Scientific Drilling （CCSD） Project, exists above the depth of 3 245 m and has distinctive responses of gamma-ray, compensating density and neutron well-logging, and so on. In this study, according to the diversities of minerals and chemical components and well-logging responses, edogites are classified from three aspects of origin, content of oxygen, and sub-mineral. We studied the logging identification method for eclogite sub-classes based on multi-element statistics and reconstructed 11 kinds of eclogite. As a result, eclogites can be divided into 6 types using well logs. In the light of this recognition, the eclogite in the main hole is divided into 20 sections, and the distribution characters of all sub-classes of eclogite are analyzed, which will provide important data for geological research of CCSD.

关键词： Chinese Continental Scientific Drilling (CCSD) ultrahigh pressure metamorphic rock eclogite well-logging lithology identification classification.

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Study of Fractal Characteristics of the Cementation Index in Shale Gas

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Acta Geologica Sinica(English Edition) 2020年第2期94卷 456-466页

作者： LIU Hongqi LIU Shiqiong LUO Xingping SUN Yangsha TIAN Jie LIANG Lixi LIU Xiangjun School of GeoScience and Technology Southwest Petroleum UniversityChengdu 610500China Institute of exploration and development Petrochina Xinjiang oilfield company.Junggar road 29#.KaramayXinjiangChina College of Petroleum Engineering.Southwest Petroleum University Chengdu 610500China

The description of pores and fracture structures is a consistently important issue and certainly a difficult problem, especially for shale or tight rocks. However, the exploitation of so-called unconventional energy, such as shale methane and tight-oil, has become more and more dependent on an understanding of the inner structure of these unconventional reservoirs. The inner structure of porous rocks is very difficult to describe quantitatively using normal mathematics, but fractal geometry, which is a powerful mathematical tool for describing irregularly-shaped objects, can be applied to these rocks. To some degree, the cementation index and tortuosity can be used to describe the complexity of these structures. The cementation index can be acquired through electro-lithology experiments, but, until now, tortuosity could not be quantitatively depicted. This research used the well-logging curves of a gas shale formation to reflect the characteristics of the rock formations, and the changes in the curves to indicate the changes of the rock matrix, the pores, the connections among the pores, the permeability, and the fluid type. The curves that are affected most by the rock lithology, such as gamma ray, acoustic logging, and deep resistivity curves, can provide significant information about the micro-or nanostructure of the rocks. If the rock structures have fractal characteristics, the logging curves will also have fractal properties. Based on the definition of a fractal dimension and the Hausdorff dimension, this paper presents a new methodology for calculating the fractal dimensions of logging curves. This paper also reveals the deep meaning of the rock cementation index, m, through the Hausdorff dimension, and provides a new equation to calculate this parameter through the resistivity and porosity of the formation. Although it represents a very important relationship between the saturation of hydrocarbons with pores and resistivity, the Archie formula was not availa

关键词： fractal geometry nano-scale well-logging curve cementation index tight rocks gas shale

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Geological Model of Pre-Jurassic Heterogeneous Basement and Hydrocarbon Productivity Prediction of “Oil-and-Gas Bearing Contact Zone Horizon” Between Paleozoic and Mesozoic Deposits of Ostaninskoye and Severoostaninskoye Oil-and-Gas Fields(Western Siberi

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地学前缘 2009年第S1期16卷 157-158页

作者： Kseniya I.Kanakova Trofimuk Institute of Petroleum Geology and Geophysics Siberian Branch of Russian Academy of Science

This work is devoted to the analysis of the formation conditions and geologic model of Paleozoic basement rocks of a number of oil-and-gas fields, located in Tomsk region(South of West-Siberian Oil-and-Gas Province,Russia).The research is based on integrated data interpretation of seismic exploration, well logging and deep *** study is at the interfaces between exploration geophysics

关键词： seismic interpretation oil content prediction well-logging data reservoir modeling

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Cluster Analysis Assisted Float-Encoded Genetic Algorithm for a More Automated Characterization of Hydrocarbon Reservoirs

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Intelligent Control and Automation 2013年第4期4卷 362-370页

作者： Norbert Péter Szabó Mihály Dobróka Réka Kavanda Department of Geophysics University of Miskolc Miskolc Hungary kavreka@***

A genetic algorithm-based joint inversion method is presented for evaluating hydrocarbon-bearing geological formations. Conventional inversion procedures routinely used in the oil industry perform the inversion processing of borehole geophysical data locally. As having barely more types of data than unknowns in a depth, a set of marginally over-determined inverse problems has to be solved along a borehole, which is a rather noise sensitive procedure. For the reduction of noise effect, the amount of overdetermination must be increased. To fulfill this requirement, we suggest the use of our interval inversion method, which inverts simultaneously all data from a greater depth interval to estimate petrophysical parameters of reservoirs to the same interval. A series expansion based discretization scheme ensures much more data against unknowns that significantly reduces the estimation error of model parameters. The knowledge of reservoir boundaries is also required for reserve calculation. well logs contain information about layer-thicknesses, but they cannot be extracted by the local inversion approach. We showed earlier that the depth coordinates of layerboundaries can be determined within the interval inversion procedure. The weakness of method is that the output of inversion is highly influenced by arbitrary assumptions made for layer-thicknesses when creating a starting model (i.e. number of layers, search domain of thicknesses). In this study, we apply an automated procedure for the determination of rock interfaces. We perform multidimensional hierarchical cluster analysis on well-logging data before inversion that separates the measuring points of different layers on a lithological basis. As a result, the vertical distribution of clusters furnishes the coordinates of layer-boundaries, which are then used as initial model parameters for the interval inversion procedure. The improved inversion method gives a fast, automatic and objective estimation to layer-boundari

关键词： Hierarchical Cluster Analysis Genetic Algorithm well-logging Interval Inversion

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