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Two-layer supply chain model for Cauchy-type stochastic demand under fuzzy environment

International Journal of Intelligent Computing and Cybernetics 2018年第2期11卷 285-308页

作者： Sujit Kumar De shib sankar sana Department of Mathematics Midnapore CollegeMidnaporeIndia Department of Mathematics Bhangar MahavidyalayaKolkataIndia

Purpose–The purpose of this paper is to deal with profit maximization problem of two-layer supply chain(SC)under fuzzy stochastic demand having finite mean and unknown *** policy is employed from the retailer to *** profit of the supplier solely depends on the order size of the ***,the loss of shortage items is related to loss of profit and goodwill *** authors develop the profit function separately for both the retailer and supplier,first,for a decentralized system and,second,joining them,the authors get a centralized system(CS)of decision making,in which one is giving more profit to both of *** problem is solved analytically first,then the authors fuzzify the model and solve by fuzzy Hausdorff distance ***/methodology/approach–The analytical models are formed for both centralized and decentralized systems under non-cooperative and cooperative environment with suitable constraints.A significant assumption on density function,namely Cauchy-type density function,is introduced for demand rate because of its wider range of the retailers’*** Hausdorff metric is incorporated within the fuzzy components of the fuzzy sets *** this method,the authors find out closure values of both centralized and decentralized policies,which is an essential part of any cooperative and non-cooperative two-layer SC ***,the authors take care of the profit values with corresponding ambiguities for both the systems ***–It is found that the centralize policy of SC could only be able to maximize the profit of both the retailers and *** analytical results are illustrated numerically along with sensitivity analysis and side by side comparative studies between Hausdorff and Euclidean distance measure are done *** limitations/implications–The main focus of attention of the proposed model is given to usefulness of Hausdorff *** other distances,Hausdor

关键词： Supply chain Fuzziness Optimization

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Reservoir heterogeneity analysis using multi-directional textural attributes from deep learning-based enhanced acoustic impedance inversion:A study from Poseidon,NW shelf Australia

Energy Geoscience

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Energy Geoscience 2024年第2期5卷 202-213页

作者： Anjali Dixit Animesh Mandal shib sankar Ganguli Department of Earth Sciences Indian Institute of Technology KanpurKanpur208016India Marine and Deep Seismic CSIR-NGRIHyderabad500007India

Reservoir heterogeneities play a crucial role in governing reservoir performance and ***,detailed and inter-well heterogeneity analyses are commonly performed by mapping seismic facies change in the seismic data,which is a time-intensive *** researchers have utilized a robust Grey-level co-occurrence matrix(GLCM)-based texture attributes to map reservoir ***,these attributes take seismic data as input and might not be sensitive to lateral lithology *** incorporate the lithology information,we have developed an innovative impedance-based texture approach using GLCM workflow by integrating 3D acoustic impedance volume(a rock propertybased attribute)obtained from a deep convolution network-based impedance *** proposed workflow is anticipated to be more sensitive toward mapping lateral changes than the conventional amplitude-based texture approach,wherein seismic data is used as *** evaluate the improvement,we applied the proposed workflow to the full-stack 3D seismic data from the Poseidon field,NW-shelf,*** study demonstrates that a better demarcation of reservoir gas sands with improved lateral continuity is achievable with the presented approach compared to the conventional *** addition,we assess the implication of multi-stage faulting on facies distribution for effective reservoir *** study also suggests a well-bounded potential reservoir facies distribution along the parallel fault ***,the proposed approach provides an efficient strategy by integrating the impedance information with texture attributes to improve the inference on reservoir heterogeneity,which can serve as a promising tool for identifying potential reservoir zones for both production benefits and fluid storage.

关键词： Seismic texture attributes Seismic acoustic impedance Multi-directional texture attributes Reservoir heterogeneity Reservoir characterization Poseidon field

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Recent advances in reservoir characterization:Introduction

Energy Geoscience

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Energy Geoscience 2024年第2期5卷 180-182页

作者： shib sankar Ganguli A.Vasanthi Sumit Verma CSIR-National Geophysical Research Institute(NGRI) HyderabadIndia Endeavor Energy Resources LPUSA

Reservoir characterization refers to the process of creating a comprehensive model that characterizes the reservoir based on its ability to store and produce *** includes analyzing reservoir fluid behavior under various conditions and identifying optimal production techniques to maximize hydrocarbon *** this,a holistic understanding is required that integrates data from geophysics,geostatistics,petrophysics,geology,and reservoir engineering.

关键词： reservoir geology geophysics

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