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Investigations on the relationship among the porosity,permeability and pore throat size of transition zone samples in carbonate reservoirs using multiple regression analysis,artificial neural network and adaptive neuro-fuzzy interface system

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Petroleum Research 2021年第4期6卷 321-332页

作者： Jamiu Oyekan Adegbite Hadi Belhaj Achinta Bera Petroleum Engineering Department Khalifa UniversityAbu DhabiUnited Arab Emirates Drilling Cementingand Stimulation Research CenterSchool of Petroleum TechnologyPandit Deendayal Energy UniversityGandhinagarGujarat382007India

Finding an accurate method for estimating permeability aside from well logs has been a difficult task for many *** most commonly used methods targeted towards regression technique to understand the correlation between pore throat radii,porosity and permeability are Winland and Pittman equation *** these methods are very common among petrophysicists,they do not give a good prediction in certain ***,this paper investigates the relationship among porosity,permeability,and pore throat radii using three methods such as multiple regression analysis,artificial neural network(ANN),and adaptive neuro-fuzzy inference system(ANFIS)for application in transition zone permeability ***,a comprehensive mercury injection capillary pressure(MICP)test was conducted using 228 transition zone carbonate core samples from a field located in the Middle-East *** regression analysis was later performed to estimate the permeability using pore throat and porosity *** the ANN,a two-layer feed-forward neural network with sigmoid hidden neurons and a linear output neuron was *** technique involves training,validation,and testing of input/output ***,for the ANFIS method,a hybrid optimization consisting of least-square and backpropagation gradient descent methods with a subtractive clustering technique was *** ANFIS combines both the artificial neural network and fuzzy logic inference system(FIS)for the training,validation,and testing of input/output *** results show that the best correlation for the multiple regression technique is achieved for pore throat radii with 35%mercury saturation(R35).However,for both the ANN and ANFIS techniques,pore throat radii with 55%mercury saturation(R55)gives the best *** the ANN and ANFIS are later found to be more effective and efficient and thus recommended as compared with the multiple regression technique commonly used in the industry.

关键词： Multiple regression analysis Artificial neural network Adaptive neuro-fuzzy interface system Permeability and porosity Pore throat mercury injection capillary pressure

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Understanding pore characteristics through core-based petrographic and petrophysical analysis in a heterogeneous carbonate reservoir:A case study from the Mumbai Offshore Basin,India

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Petroleum Research 2023年第4期8卷 469-480页

作者： Ilius Mondal Kumar Hemant Singh Department of Earth Science Indian Institute of TechnologyBombayIndia

Carbonate rocks exhibit complex and heterogeneous pore structures;such heterogeneity is manifested by the occurrence of a wide variety of pore types with different sizes and geometries as a result of depositional and diagenetic *** complications substantially increase the uncertainty of predicted rock hydraulic parameters because samples with comparable porosities might have very different permeability *** this study,small-scale characterisation of porosity and permeability in heterogeneous Eocene limestone samples from the Bassein Formation of the B-X structure of the MK Field in Mumbai Offshore Basin,India,was carried out,employing an integrated framework that in-corporates thin-section petrography,routine core analysis,mercury injection capillary pressure and nuclear magnetic resonance *** pore characteristics of these carbonates range from poor to *** studied samples exhibited large ranges of porosity,permeability and other associated petrophysical *** pore types,as well as their orientations and connectivity,are the primary factors causing the *** of the complexity of the pore networks,a simple lithofacies classification alone would have been insufficient to link porosity and *** reservoir char-acteristics in the study area are strongly linked to the development and/or destruction of reservoir porosity-permeability during different phases of ***-four carbonate core samples from the limestone unit were studied and classified into microfacies and pore type classes,producing an accurate assessment of reservoir *** comprehensive workflow incorporates the pore volume distributions and pore throat attributes for each rock *** carbonate microfacies were identified by petrographic analysis and their petrophysical characteristics,such as porosity,permeability,pore throat size,pore volume and fluid flow factors,were *** study demonstrates how macro-porosity

关键词： Carbonatereservoir Permeability mercury injection capillary pressure Nuclear magnetic resonance Porosity partitioning

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