Fractured Zone Detection Using Petrophysical Logs by Rescaled Windowed R/S Analyses and Discrete Fracture Network (DFN) of Yanchang Formation in Mahuangshan-Hongliugou Area, Ordos Basin, China
Structural fractures generally develop in the upper crust strata and are usually distributed in a convergent pattern, forming structural fracture zones with a specific strike. Fracture zones control the reservoir seepage system and seriously affect the migration and accumulation of oil and gas in ti...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
|
| Series: | Geofluids |
| Online Access: | http://dx.doi.org/10.1155/2023/9255499 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849307210182557696 |
|---|---|
| author | Jindong Gao Lirong Li Gaorun Gao Shuwei Ma Meng Li |
| author_facet | Jindong Gao Lirong Li Gaorun Gao Shuwei Ma Meng Li |
| author_sort | Jindong Gao |
| collection | DOAJ |
| description | Structural fractures generally develop in the upper crust strata and are usually distributed in a convergent pattern, forming structural fracture zones with a specific strike. Fracture zones control the reservoir seepage system and seriously affect the migration and accumulation of oil and gas in tight sandstone reservoirs. Therefore, characterizing the characteristics of the fracture zones for tight oil exploration and development effectively is essential. In this paper, the variable scale fractal method is introduced to calculate the petrophysical log, and a new curve H is built. An intensity log is to characterize the intensity of structural fracture development. The H curve is in a good linear relationship with the intensity curve after the comparison of the H curve and intensity curve in 32 wells. A quantitative relationship between H and the intensity curve is established. Based on the parameters obtained from the core and image logs, the discrete fracture network model was established using H curves from more than 300 wells, and the structural fracture zone was analyzed. The model shows that the fracture zones formed by structural fractures are in S-N and NW-SE directions in the study area. The orientation of the structural fracture zone is consistent with that of the fractured fault zone and fault, and the development of the fractured zone is consistent with the regional tectonic evolution characteristics. The characteristics of the fracture zone explain the distribution law of oil accumulation and groundwater salinity in the study area. |
| format | Article |
| id | doaj-art-1c7cf489f4f94b3f8e94db98612d0230 |
| institution | Kabale University |
| issn | 1468-8123 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geofluids |
| spelling | doaj-art-1c7cf489f4f94b3f8e94db98612d02302025-08-20T03:54:51ZengWileyGeofluids1468-81232023-01-01202310.1155/2023/9255499Fractured Zone Detection Using Petrophysical Logs by Rescaled Windowed R/S Analyses and Discrete Fracture Network (DFN) of Yanchang Formation in Mahuangshan-Hongliugou Area, Ordos Basin, ChinaJindong Gao0Lirong Li1Gaorun Gao2Shuwei Ma3Meng Li4Key Laboratory for Digital Land and Resources of Jiangxi ProvinceSchool of Earth SciencesSchool of Petroleum Engineering and Environmental EngineeringResearch Institute of Exploration and DevelopmentChina Railway First Survey and Design Institute Group Ltd.Structural fractures generally develop in the upper crust strata and are usually distributed in a convergent pattern, forming structural fracture zones with a specific strike. Fracture zones control the reservoir seepage system and seriously affect the migration and accumulation of oil and gas in tight sandstone reservoirs. Therefore, characterizing the characteristics of the fracture zones for tight oil exploration and development effectively is essential. In this paper, the variable scale fractal method is introduced to calculate the petrophysical log, and a new curve H is built. An intensity log is to characterize the intensity of structural fracture development. The H curve is in a good linear relationship with the intensity curve after the comparison of the H curve and intensity curve in 32 wells. A quantitative relationship between H and the intensity curve is established. Based on the parameters obtained from the core and image logs, the discrete fracture network model was established using H curves from more than 300 wells, and the structural fracture zone was analyzed. The model shows that the fracture zones formed by structural fractures are in S-N and NW-SE directions in the study area. The orientation of the structural fracture zone is consistent with that of the fractured fault zone and fault, and the development of the fractured zone is consistent with the regional tectonic evolution characteristics. The characteristics of the fracture zone explain the distribution law of oil accumulation and groundwater salinity in the study area.http://dx.doi.org/10.1155/2023/9255499 |
| spellingShingle | Jindong Gao Lirong Li Gaorun Gao Shuwei Ma Meng Li Fractured Zone Detection Using Petrophysical Logs by Rescaled Windowed R/S Analyses and Discrete Fracture Network (DFN) of Yanchang Formation in Mahuangshan-Hongliugou Area, Ordos Basin, China Geofluids |
| title | Fractured Zone Detection Using Petrophysical Logs by Rescaled Windowed R/S Analyses and Discrete Fracture Network (DFN) of Yanchang Formation in Mahuangshan-Hongliugou Area, Ordos Basin, China |
| title_full | Fractured Zone Detection Using Petrophysical Logs by Rescaled Windowed R/S Analyses and Discrete Fracture Network (DFN) of Yanchang Formation in Mahuangshan-Hongliugou Area, Ordos Basin, China |
| title_fullStr | Fractured Zone Detection Using Petrophysical Logs by Rescaled Windowed R/S Analyses and Discrete Fracture Network (DFN) of Yanchang Formation in Mahuangshan-Hongliugou Area, Ordos Basin, China |
| title_full_unstemmed | Fractured Zone Detection Using Petrophysical Logs by Rescaled Windowed R/S Analyses and Discrete Fracture Network (DFN) of Yanchang Formation in Mahuangshan-Hongliugou Area, Ordos Basin, China |
| title_short | Fractured Zone Detection Using Petrophysical Logs by Rescaled Windowed R/S Analyses and Discrete Fracture Network (DFN) of Yanchang Formation in Mahuangshan-Hongliugou Area, Ordos Basin, China |
| title_sort | fractured zone detection using petrophysical logs by rescaled windowed r s analyses and discrete fracture network dfn of yanchang formation in mahuangshan hongliugou area ordos basin china |
| url | http://dx.doi.org/10.1155/2023/9255499 |
| work_keys_str_mv | AT jindonggao fracturedzonedetectionusingpetrophysicallogsbyrescaledwindowedrsanalysesanddiscretefracturenetworkdfnofyanchangformationinmahuangshanhongliugouareaordosbasinchina AT lirongli fracturedzonedetectionusingpetrophysicallogsbyrescaledwindowedrsanalysesanddiscretefracturenetworkdfnofyanchangformationinmahuangshanhongliugouareaordosbasinchina AT gaorungao fracturedzonedetectionusingpetrophysicallogsbyrescaledwindowedrsanalysesanddiscretefracturenetworkdfnofyanchangformationinmahuangshanhongliugouareaordosbasinchina AT shuweima fracturedzonedetectionusingpetrophysicallogsbyrescaledwindowedrsanalysesanddiscretefracturenetworkdfnofyanchangformationinmahuangshanhongliugouareaordosbasinchina AT mengli fracturedzonedetectionusingpetrophysicallogsbyrescaledwindowedrsanalysesanddiscretefracturenetworkdfnofyanchangformationinmahuangshanhongliugouareaordosbasinchina |