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Predicting Turbidite Channel in Deep-Water Canyon Based on Grey Relational Analysis-Support Vector Machine Model:A Case Study of the Lingshui Depression in Qiongdongnan Basin,South China Sea

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Energy Engineering 2024年第9期121卷 2435-2447页

作者： Haichen Li Jianghai Li Li Li Zhandong Li School of Earth and Space Sciences Peking UniversityBeijing100871China Key Laboratory of Orogenic Belts and Crustal Evolution Peking UniversityBeijing100871China Geotechnical Physical and Mechanical Properties Laboratory Langfang Normal UniversityLangfang065000China Heilongjiang Northeast Petroleum University Science Park Development Co. Ltd.Daqing163318China College of Petroleum Engineering Northeast Petroleum UniversityDaqing163318China

The turbidite channel of South China Sea has been highly *** by the complex fault and the rapid phase change of lithofacies,predicting the channel through conventional seismic attributes is not accurate *** response to this disadvantage,this study used a method combining grey relational analysis(GRA)and support vectormachine(SVM)and established a set of prediction technical procedures suitable for reservoirs with complex geological *** the case study of the huangliu formation in Qiongdongnan Basin,South China Sea,this study first dimensionalized the conventional seismic attributes of Gas Layer Group I and then used the GRA method to obtain the main relational factors.A higher relational degree indicates a higher probability of responding to the attributes of the turbidite *** study then accumulated the optimized attributes with the highest relational factors to obtain a first-order accumulated sequence,which was used as the input training sample of the SVM model,thus successfully constructing the SVM turbidite channel *** results prove that the GRA-SVMmethod has a high drilling coincidence *** the core and logging data and taking full use of the advantages of seismic inversion in predicting the sand boundary of water channels,this study divides the sedimentary microfacies of the huangliu formation in the Lingshui 17-2 Gas *** comprehensive study has shown that the GRA-SVM method has high accuracy for predicting turbidite channels and can be used as a superior turbidite channel prediction method under complex geological conditions.

关键词： Support vector machine channel huangliu formation Qiongdongnan Basin

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The effect of thermal fluid derived from mud diapir on sandstone reservoirs in the Yinggehai Basin, South China Sea

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Energy Geoscience 2022年第4期3卷 473-484页

作者： Xiaowei Lv Meiyan Fu Shaonan Zhang Yi Liu Xiaoqi Ding Xianghao Meng Shuai Yin Tengjiao Sun State Key Laboratory of Oil and Gas Geology and Exploitation Chengdu610059China College of Energy Resource Chengdu University of TechnologyChengdu610059China Research Institute of SINOPEC Henan Oilfield Company Zhengzhou450018China College of Geosciences and Technology Southwest Petroleum UniversityChengdu610500China Research Institute of CNOOC Zhanjiang Branch Company Zhanjiang524059China School of Earth Sciences and Engineering of Xian Shiyou University Xian710065China

The underground thermal fluid is one of the significant factors controlling the formation and quality of *** huangliu formation(N_(1)h)in YF1 area of the central depression belt in the Yinggehai Basin,South China Sea,is characterized by intense thermal fluid activities related to mud diapir and large-scale shallow-water gravity flow *** multi-episodic invasion of high-temperature and CO_(2)-rich thermal fluid into the formation induces complex water-rock reaction during diagenetic pro-cess,providing a preferable investigation opportunity for revealing how thermal fluid affects reservoir *** study characterizes the reservoirs in the formation through core and thin section analyses as well as physical property *** reservoirs are dominated by fine-grained sandstone characterized by medium porosity(15.2-21.3%)and lower permeability(0.56-15.75mD).Based on an analysis of casting thin section,cathode luminescence(CL),scanning electron microscope(SEM),carbon and oxygen isotope,inclusion test,and electron-probe microanalysis(EPMA),we systematically investigate the diagenetic patterns and pore evolution process for the reservoirs in the *** episodic invasion of thermal fluid occurred approximately 0.4 Ma ago plays an important role in controlling reservoir development:The CO_(2)-rich formation water induces massive late-stage dissolution,resulting in a higher proportion of dissolved pores(38.7-46.4%),which improves the porosity of reservoirs at a depth of 2600-3100 ***,the late dissolution together with carbonate cementation occurred in closed diagenetic system blocks most seepage ***,the relatively high level clay mineral transformation in the YF1 area leads to a higher content of authigenic illite(44-62%)in the *** authigenic illite severely blocks the pore throats in fine sandstone,reducing *** study offers an insight to the understanding of mud diapir-derived thermal fluid

关键词： Thermal fluid Sandstone diagenesis CO_(2)dissolution Low permeability huangliu formation

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