Petrophysical insights into pore structure in complex carbonate reservoirs using NMR data
作者机构:Department of Earth ScienceIndian Institute of Technology BombayIndia
出 版 物:《Petroleum Research》 (石油研究(英文))
年 卷 期:2024年第9卷第3期
页 面:439-450页
核心收录:
学科分类:0820[工学-石油与天然气工程] 08[工学] 082002[工学-油气田开发工程]
基 金:The authors extend their heartfelt gratitude to the Oil and Natural Gas Corporation for their generous provision of data and for granting permission to carry out this research under the ONGC-CoEOGE IITB project. We express our sincere appreciation to the editors and anonymous peer reviewers for their valuable suggestions and insightful comments which have significantly enhanced the quality of this work
主 题:Pore structure NMR T_(2)distribution Irreducible water Fractal analysis Permeability
摘 要:The study delves into pore structure attributes within the complex Eocene carbonate of an Indian offshore field,encompassing pore throat,radius and their *** Magnetic Resonance(NMR)experimental data reveals crucial insights into pore structures and fluid *** study compares the NMR T_(2) distribution curve with capillary pressure data from the Mercury Injection Capillary Pressure(MICP)technique,deriving linear and nonlinear conversion coefficients to transform NMR T_(2) spectra into equivalent pore radius *** radius-dependent porosity partitioning,linked to permeability and the distribution of irreducible water,is conducted utilizing NMR-derived *** the T_(2) cut-off analysis,a two-segment fractal analysis of NMR T_(2) distribution is also carried *** analysis unveils associations between fractal dimensions and various petrophysical parameters,including permeability,porosity,T_(2)LM,irreducible water saturation and *** NMR-derived pore radius distribution is mostly unimodal,occasionally slightly *** different pore size classes(less than 0.05μm to more than 5μm)are analysed in relation to permeability,porosity and irreducible *** pores(1μm)contribute more to irreducible water with low porosity and *** fractal dimension of large pores correlates strongly with porosity,permeability,T_(2)LM,irreducible water and Rso suggesting significant impact on reservoir seepage *** addition to porosity partitioning,the current study demonstrates effectiveness in modelling modified permeability and correlating it with in situ permeability when applied to field NMR log data from the study *** numerous studies focus on sandstone,our study marks the pioneering attempt at a comprehensive analysis on complex carbonate reservoirs.