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Development of one dimensional geomechanical model for a tight gas reservoir
Estimating rock-mechanical, petrophysical properties and pre-production stress state is essential for effective reservoir planning, development, and optimal exploitation. This paper attempts to construct a comprehensive one-dimensional mechanical earth model (1D MEM) of the Mandapeta gas reservoir o...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8563761/ https://www.ncbi.nlm.nih.gov/pubmed/34728692 http://dx.doi.org/10.1038/s41598-021-00860-z |
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author | Verma, Abhiram Kumar Deb, Debasis Dey, Akshay Chandan Roy, Subrata Singh, Ajay Kumar Avadhani, V. L. N. Tiwari, Rajiv Ranjan |
author_facet | Verma, Abhiram Kumar Deb, Debasis Dey, Akshay Chandan Roy, Subrata Singh, Ajay Kumar Avadhani, V. L. N. Tiwari, Rajiv Ranjan |
author_sort | Verma, Abhiram Kumar |
collection | PubMed |
description | Estimating rock-mechanical, petrophysical properties and pre-production stress state is essential for effective reservoir planning, development, and optimal exploitation. This paper attempts to construct a comprehensive one-dimensional mechanical earth model (1D MEM) of the Mandapeta gas reservoir of Krishna Godavari (KG) basin, India. The methodology comprises a detailed stepwise process from processing and analysis of raw log data, calibration of log-derived dynamic properties with static ones using regression models developed from tested core samples, and final rock mechanical property estimation. Pore pressure profiles have been estimated and calibrated with the Repeat formation tester (RFT) data for every thirty-five wells. Overburden and horizontal stresses have also been evaluated and calibrated using data from the Leak-off Tests (LOT) or Extended Leak-off Tests (XLOT). A menu-driven program is developed using PYTHON code for visualization and on-time revision of 1D MEM. The resulting comprehensive 1D MEM predicts and establishes the rock-mechanical properties, pore pressure, and in-situ stress values of the basin. Besides its use in planning future wells, development of the field, and yielding insight into the various well challenges, it can also be used to develop a 3D MEM of the reservoir. |
format | Online Article Text |
id | pubmed-8563761 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-85637612021-11-03 Development of one dimensional geomechanical model for a tight gas reservoir Verma, Abhiram Kumar Deb, Debasis Dey, Akshay Chandan Roy, Subrata Singh, Ajay Kumar Avadhani, V. L. N. Tiwari, Rajiv Ranjan Sci Rep Article Estimating rock-mechanical, petrophysical properties and pre-production stress state is essential for effective reservoir planning, development, and optimal exploitation. This paper attempts to construct a comprehensive one-dimensional mechanical earth model (1D MEM) of the Mandapeta gas reservoir of Krishna Godavari (KG) basin, India. The methodology comprises a detailed stepwise process from processing and analysis of raw log data, calibration of log-derived dynamic properties with static ones using regression models developed from tested core samples, and final rock mechanical property estimation. Pore pressure profiles have been estimated and calibrated with the Repeat formation tester (RFT) data for every thirty-five wells. Overburden and horizontal stresses have also been evaluated and calibrated using data from the Leak-off Tests (LOT) or Extended Leak-off Tests (XLOT). A menu-driven program is developed using PYTHON code for visualization and on-time revision of 1D MEM. The resulting comprehensive 1D MEM predicts and establishes the rock-mechanical properties, pore pressure, and in-situ stress values of the basin. Besides its use in planning future wells, development of the field, and yielding insight into the various well challenges, it can also be used to develop a 3D MEM of the reservoir. Nature Publishing Group UK 2021-11-02 /pmc/articles/PMC8563761/ /pubmed/34728692 http://dx.doi.org/10.1038/s41598-021-00860-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Verma, Abhiram Kumar Deb, Debasis Dey, Akshay Chandan Roy, Subrata Singh, Ajay Kumar Avadhani, V. L. N. Tiwari, Rajiv Ranjan Development of one dimensional geomechanical model for a tight gas reservoir |
title | Development of one dimensional geomechanical model for a tight gas reservoir |
title_full | Development of one dimensional geomechanical model for a tight gas reservoir |
title_fullStr | Development of one dimensional geomechanical model for a tight gas reservoir |
title_full_unstemmed | Development of one dimensional geomechanical model for a tight gas reservoir |
title_short | Development of one dimensional geomechanical model for a tight gas reservoir |
title_sort | development of one dimensional geomechanical model for a tight gas reservoir |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8563761/ https://www.ncbi.nlm.nih.gov/pubmed/34728692 http://dx.doi.org/10.1038/s41598-021-00860-z |
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