Facies and Petrophysical Modeling of Triassic Chang 6 Tight Sandstone Reservoir, Heshui Oil Field, Ordos Basin, China
AbstractTight sandstone reservoirs are widely distributed worldwide. The Upper Triassic Chang 6 member of the Yanchang Formation is characterized by low permeability and porosity. The facies model offers a unique approach for understanding the characteristics of various environments...
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GeoScienceWorld
2021-10-01
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Series: | Lithosphere |
Online Access: | https://pubs.geoscienceworld.org/lithosphere/article/2021/Special%201/9230422/608100/Facies-and-Petrophysical-Modeling-of-Triassic |
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author | Khawaja Hasnain Iltaf Dali Yue Wurong Wang Xiaolong Wan Shixiang Li Shenghe Wu Ruijing Liu Zhan Weijia Siraj Mehboob Sajjad Ahmad Shah Rizwan Sarwar Awan Muhammad Tahir |
author_facet | Khawaja Hasnain Iltaf Dali Yue Wurong Wang Xiaolong Wan Shixiang Li Shenghe Wu Ruijing Liu Zhan Weijia Siraj Mehboob Sajjad Ahmad Shah Rizwan Sarwar Awan Muhammad Tahir |
author_sort | Khawaja Hasnain Iltaf |
collection | DOAJ |
description |
AbstractTight sandstone reservoirs are widely distributed worldwide. The Upper Triassic Chang 6 member of the Yanchang Formation is characterized by low permeability and porosity. The facies model offers a unique approach for understanding the characteristics of various environments also heterogeneity, scale, and control of physical processes. The role of subsurface facies features and petrophysical properties was unclear. Notable insufficient research has been conducted based on facies and petrophysical modeling and that demands to refine the role of reservoir properties. To tackle this problem, a reservoir model is to be estimated using various combinations of property modeling algorithms for discrete (facies) and continuous (petrophysical) properties. Chang 6 member consists of three main facies, i.e., channel, lobe main body, and lobe margin facies. The current research is aimed at comparing the applicability and competitiveness of various facies and petrophysical modeling methods. Further, well-log data was utilized to interpret unique facies and petrophysical models to better understand the reservoir architecture. Methods for facies modeling include indicator kriging, multiple-point geostatistics, surface-based method, and sequential indicator simulation. Overall, the indicator kriging method preserved the local variability and accuracy, but some facies are smoothed out. The surface-based method showed far better results by showing the ability to reproduce the geometry, extent, connectivity, and facies association. The multiple-point geostatistics (MPG) model accurately presented the facies profiles, contacts, geometry, and geomorphological features. Sequential indicator simulation (SIS) honored the facies spatial distribution and input statistical parameters. The porosity model built using sequential Gaussian simulation (SGS) showed low porosity (74% values <2%). Gaussian random function simulation (GRFS) models showed very low average porosity (8%-10%) and low permeability (less than 0.1 mD). These methods indicate that Chang 6 member is a typical unconventional tight sandstone reservoir with ultralow values of petrophysical properties. |
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last_indexed | 2024-12-12T06:39:49Z |
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spelling | doaj.art-d8bfa9a1f24f4a418c1a9db19f7f47362022-12-22T00:34:22ZengGeoScienceWorldLithosphere1941-82641947-42532021-10-012021Special 110.2113/2021/9230422Facies and Petrophysical Modeling of Triassic Chang 6 Tight Sandstone Reservoir, Heshui Oil Field, Ordos Basin, ChinaKhawaja Hasnain Iltaf0Dali Yue1http://orcid.org/0000-0001-8918-9513Wurong Wang2http://orcid.org/0000-0003-3042-9839Xiaolong Wan3Shixiang Li4Shenghe Wu5Ruijing Liu6Zhan Weijia7Siraj Mehboob8Sajjad Ahmad Shah9Rizwan Sarwar Awan10Muhammad Tahir11State Key Laboratory of Petroleum Resources and Prospecting China University of Petroleum (Beijing) Beijing 102249 China cup.edu.cnState Key Laboratory of Petroleum Resources and Prospecting China University of Petroleum (Beijing) Beijing 102249 China cup.edu.cnState Key Laboratory of Petroleum Resources and Prospecting China University of Petroleum (Beijing) Beijing 102249 China cup.edu.cnResearch Institute of Exploration and Development PetroChina Changqing Oilfield Company Xi’an 710021 China petrochina.com.cnResearch Institute of Exploration and Development PetroChina Changqing Oilfield Company Xi’an 710021 China petrochina.com.cnState Key Laboratory of Petroleum Resources and Prospecting China University of Petroleum (Beijing) Beijing 102249 China cup.edu.cnState Key Laboratory of Petroleum Resources and Prospecting China University of Petroleum (Beijing) Beijing 102249 China cup.edu.cnState Key Laboratory of Petroleum Resources and Prospecting China University of Petroleum (Beijing) Beijing 102249 China cup.edu.cnState Key Laboratory of Petroleum Resources and Prospecting China University of Petroleum (Beijing) Beijing 102249 China cup.edu.cnSchool of Geosciences and Info-Physics Central South University Changsha Hunan 410083 China csu.edu.cnState Key Laboratory of Petroleum Resources and Prospecting China University of Petroleum (Beijing) Beijing 102249 China cup.edu.cnResearch Institute of Unconventional Petroleum China University of Petroleum (Beijing) Beijing 102249 China cup.edu.cn AbstractTight sandstone reservoirs are widely distributed worldwide. The Upper Triassic Chang 6 member of the Yanchang Formation is characterized by low permeability and porosity. The facies model offers a unique approach for understanding the characteristics of various environments also heterogeneity, scale, and control of physical processes. The role of subsurface facies features and petrophysical properties was unclear. Notable insufficient research has been conducted based on facies and petrophysical modeling and that demands to refine the role of reservoir properties. To tackle this problem, a reservoir model is to be estimated using various combinations of property modeling algorithms for discrete (facies) and continuous (petrophysical) properties. Chang 6 member consists of three main facies, i.e., channel, lobe main body, and lobe margin facies. The current research is aimed at comparing the applicability and competitiveness of various facies and petrophysical modeling methods. Further, well-log data was utilized to interpret unique facies and petrophysical models to better understand the reservoir architecture. Methods for facies modeling include indicator kriging, multiple-point geostatistics, surface-based method, and sequential indicator simulation. Overall, the indicator kriging method preserved the local variability and accuracy, but some facies are smoothed out. The surface-based method showed far better results by showing the ability to reproduce the geometry, extent, connectivity, and facies association. The multiple-point geostatistics (MPG) model accurately presented the facies profiles, contacts, geometry, and geomorphological features. Sequential indicator simulation (SIS) honored the facies spatial distribution and input statistical parameters. The porosity model built using sequential Gaussian simulation (SGS) showed low porosity (74% values <2%). Gaussian random function simulation (GRFS) models showed very low average porosity (8%-10%) and low permeability (less than 0.1 mD). These methods indicate that Chang 6 member is a typical unconventional tight sandstone reservoir with ultralow values of petrophysical properties.https://pubs.geoscienceworld.org/lithosphere/article/2021/Special%201/9230422/608100/Facies-and-Petrophysical-Modeling-of-Triassic |
spellingShingle | Khawaja Hasnain Iltaf Dali Yue Wurong Wang Xiaolong Wan Shixiang Li Shenghe Wu Ruijing Liu Zhan Weijia Siraj Mehboob Sajjad Ahmad Shah Rizwan Sarwar Awan Muhammad Tahir Facies and Petrophysical Modeling of Triassic Chang 6 Tight Sandstone Reservoir, Heshui Oil Field, Ordos Basin, China Lithosphere |
title | Facies and Petrophysical Modeling of Triassic Chang 6 Tight Sandstone Reservoir, Heshui Oil Field, Ordos Basin, China |
title_full | Facies and Petrophysical Modeling of Triassic Chang 6 Tight Sandstone Reservoir, Heshui Oil Field, Ordos Basin, China |
title_fullStr | Facies and Petrophysical Modeling of Triassic Chang 6 Tight Sandstone Reservoir, Heshui Oil Field, Ordos Basin, China |
title_full_unstemmed | Facies and Petrophysical Modeling of Triassic Chang 6 Tight Sandstone Reservoir, Heshui Oil Field, Ordos Basin, China |
title_short | Facies and Petrophysical Modeling of Triassic Chang 6 Tight Sandstone Reservoir, Heshui Oil Field, Ordos Basin, China |
title_sort | facies and petrophysical modeling of triassic chang 6 tight sandstone reservoir heshui oil field ordos basin china |
url | https://pubs.geoscienceworld.org/lithosphere/article/2021/Special%201/9230422/608100/Facies-and-Petrophysical-Modeling-of-Triassic |
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