Evaluation of fractures using conventional and FMI logs, and 3D seismic interpretation in continental tight sandstone reservoir
Due to the complex pore structures and strong heterogeneity of fractured reservoirs, it is a hot and difficult point in petroleum geology to identify fractures using logging principles. In this paper, taking the tight sandstone reservoir of the Chang 8 Member in the Huanjiang Oilfield as an example,...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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De Gruyter
2022-06-01
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| Series: | Open Geosciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/geo-2022-0372 |
| _version_ | 1811203723112742912 |
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| author | Qiu Xiangliang Tan Chengqian Lu Yuanyuan Yin Shuai |
| author_facet | Qiu Xiangliang Tan Chengqian Lu Yuanyuan Yin Shuai |
| author_sort | Qiu Xiangliang |
| collection | DOAJ |
| description | Due to the complex pore structures and strong heterogeneity of fractured reservoirs, it is a hot and difficult point in petroleum geology to identify fractures using logging principles. In this paper, taking the tight sandstone reservoir of the Chang 8 Member in the Huanjiang Oilfield as an example, field outcrops, cores, thin sections, and logging identification methods were used for quantitative description and fine logging evaluation of fractures. The research shows that high-angle, medium-low-angle, near-vertical, and horizontal fractures are developed in the Chang 8 Member of the Huanjiang Oilfield. The main ones are high-angle fractures, followed by horizontal fractures with a low degree of fillings. Under the constraints of core and imaging logging data, three fracture sensitivity logging parameters of acoustic wave time difference, natural gamma, and dual induction-octalateral resistivity were optimized, and a comprehensive fracture probability index was proposed. Seventy-nine fracture development intervals were identified based on log curve characteristics and fracture probability indexes. The coincidence rate of fracture logging identification results with the core observation and imaging logging interpretation is 80.6%. The research results can provide a theoretical basis for the efficient development of fractured continental tight sandstone reservoirs in similar areas. |
| first_indexed | 2024-04-12T03:01:00Z |
| format | Article |
| id | doaj.art-9a89a39bf0e943008af80cb9c02c5e86 |
| institution | Directory Open Access Journal |
| issn | 2391-5447 |
| language | English |
| last_indexed | 2024-04-12T03:01:00Z |
| publishDate | 2022-06-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Open Geosciences |
| spelling | doaj.art-9a89a39bf0e943008af80cb9c02c5e862022-12-22T03:50:41ZengDe GruyterOpen Geosciences2391-54472022-06-0114153054310.1515/geo-2022-0372Evaluation of fractures using conventional and FMI logs, and 3D seismic interpretation in continental tight sandstone reservoirQiu Xiangliang0Tan Chengqian1Lu Yuanyuan2Yin Shuai3Xi’an Shiyou University, School of Petroleum Engineering, Xi’an 710065, ChinaXi’an Shiyou University, School of Earth Science and Engineering, Xi’an 710065, ChinaCNOOC Research Institute Corporation Ltd., Beijing 100028, ChinaXi’an Shiyou University, School of Earth Science and Engineering, Xi’an 710065, ChinaDue to the complex pore structures and strong heterogeneity of fractured reservoirs, it is a hot and difficult point in petroleum geology to identify fractures using logging principles. In this paper, taking the tight sandstone reservoir of the Chang 8 Member in the Huanjiang Oilfield as an example, field outcrops, cores, thin sections, and logging identification methods were used for quantitative description and fine logging evaluation of fractures. The research shows that high-angle, medium-low-angle, near-vertical, and horizontal fractures are developed in the Chang 8 Member of the Huanjiang Oilfield. The main ones are high-angle fractures, followed by horizontal fractures with a low degree of fillings. Under the constraints of core and imaging logging data, three fracture sensitivity logging parameters of acoustic wave time difference, natural gamma, and dual induction-octalateral resistivity were optimized, and a comprehensive fracture probability index was proposed. Seventy-nine fracture development intervals were identified based on log curve characteristics and fracture probability indexes. The coincidence rate of fracture logging identification results with the core observation and imaging logging interpretation is 80.6%. The research results can provide a theoretical basis for the efficient development of fractured continental tight sandstone reservoirs in similar areas.https://doi.org/10.1515/geo-2022-0372huanjiang oilfieldchang 8 reservoirfracture characteristicsfracture interpretation using loggingimaging logging |
| spellingShingle | Qiu Xiangliang Tan Chengqian Lu Yuanyuan Yin Shuai Evaluation of fractures using conventional and FMI logs, and 3D seismic interpretation in continental tight sandstone reservoir Open Geosciences huanjiang oilfield chang 8 reservoir fracture characteristics fracture interpretation using logging imaging logging |
| title | Evaluation of fractures using conventional and FMI logs, and 3D seismic interpretation in continental tight sandstone reservoir |
| title_full | Evaluation of fractures using conventional and FMI logs, and 3D seismic interpretation in continental tight sandstone reservoir |
| title_fullStr | Evaluation of fractures using conventional and FMI logs, and 3D seismic interpretation in continental tight sandstone reservoir |
| title_full_unstemmed | Evaluation of fractures using conventional and FMI logs, and 3D seismic interpretation in continental tight sandstone reservoir |
| title_short | Evaluation of fractures using conventional and FMI logs, and 3D seismic interpretation in continental tight sandstone reservoir |
| title_sort | evaluation of fractures using conventional and fmi logs and 3d seismic interpretation in continental tight sandstone reservoir |
| topic | huanjiang oilfield chang 8 reservoir fracture characteristics fracture interpretation using logging imaging logging |
| url | https://doi.org/10.1515/geo-2022-0372 |
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