Multi-scale fracture characterization method for transitional shale reservoir based on post-stack multi-attribute ant-tracking fusion and pre-stack wide-azimuth gathers AVAZ analysis

Abstract Transitional shale gas represents a significant domain for exploration in the oil and gas sector. The distribution area is extensive, and the resource potential is significant, representing approximately 25% of China's total shale gas resources. Approaches for predicting reservoir frac...

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Main Authors: Hongjie Peng, Jingtao Zhao, Zhen Qiu, Qin Zhang, Wen Liu, Weiliang Kong, Wanli Gao, Tongjie Sheng, Wenyu Li, Yugang Yang
Format: Article
Language:English
Published: Springer 2025-01-01
Series:Geomechanics and Geophysics for Geo-Energy and Geo-Resources
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Online Access:https://doi.org/10.1007/s40948-024-00926-y
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author Hongjie Peng
Jingtao Zhao
Zhen Qiu
Qin Zhang
Wen Liu
Weiliang Kong
Wanli Gao
Tongjie Sheng
Wenyu Li
Yugang Yang
author_facet Hongjie Peng
Jingtao Zhao
Zhen Qiu
Qin Zhang
Wen Liu
Weiliang Kong
Wanli Gao
Tongjie Sheng
Wenyu Li
Yugang Yang
author_sort Hongjie Peng
collection DOAJ
description Abstract Transitional shale gas represents a significant domain for exploration in the oil and gas sector. The distribution area is extensive, and the resource potential is significant, representing approximately 25% of China's total shale gas resources. Approaches for predicting reservoir fractures using seismic attributes has been well-established. Seismic attributes are frequently constrained by elements including the frequency and resolution of seismic data. The characteristics of transitional shale reservoirs, including complex lithological combinations, frequent changes in lithology, low resolution and variable frequency of seismic data, as well as the presence of strong reflection shielding in coal seams, significantly influence fracture prediction. The use of a single seismic attribute technique presents challenges in delivering a thorough and precise prediction of fractures within transitional reservoirs. This study extracts discontinuity information of large fractures, fine fractures, and fractures obscured by strong reflections from coal seams using variance attributes, amplitude contrast attributes, and the amplitude of diffracted waves, respectively. The discontinuity features obtained from the three methods are monitored through an ant-tracking technique and integrated. Fractures in the work area are methodically described. The near-offset Rüger formula method is utilized to analyze the pre-stack wide-azimuth gathers. Anisotropic gradients and anisotropic directions have been derived. The results of the fracture prediction are analyzed and validated. A novel and reliable methodology, designed specifically for the challenges of transitional shale reservoirs, has been developed for combined pre-stack and post-stack seismic multi-scale fracture prediction. The robust reflection shielding effect of the coal seam has been effectively eliminated. The characterization of fractures in transitional shale reservoirs has been enhanced.
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institution Kabale University
issn 2363-8419
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language English
publishDate 2025-01-01
publisher Springer
record_format Article
series Geomechanics and Geophysics for Geo-Energy and Geo-Resources
spelling doaj-art-10cc7246d03f45d9a7ee01135abc5cd82025-02-02T12:47:28ZengSpringerGeomechanics and Geophysics for Geo-Energy and Geo-Resources2363-84192363-84272025-01-0111111510.1007/s40948-024-00926-yMulti-scale fracture characterization method for transitional shale reservoir based on post-stack multi-attribute ant-tracking fusion and pre-stack wide-azimuth gathers AVAZ analysisHongjie Peng0Jingtao Zhao1Zhen Qiu2Qin Zhang3Wen Liu4Weiliang Kong5Wanli Gao6Tongjie Sheng7Wenyu Li8Yugang Yang9College of Geoscience and Surveying Engineering, China University of Mining and Technology-BeijingCollege of Geoscience and Surveying Engineering, China University of Mining and Technology-BeijingPetroChina Research Institute of Petroleum Exploration and DevelopmentPetroChina Research Institute of Petroleum Exploration and DevelopmentPetroChina Research Institute of Petroleum Exploration and DevelopmentPetroChina Research Institute of Petroleum Exploration and DevelopmentCollege of Geoscience and Surveying Engineering, China University of Mining and Technology-BeijingCollege of Geoscience and Surveying Engineering, China University of Mining and Technology-BeijingCollege of Geoscience and Surveying Engineering, China University of Mining and Technology-BeijingCollege of Geoscience and Surveying Engineering, China University of Mining and Technology-BeijingAbstract Transitional shale gas represents a significant domain for exploration in the oil and gas sector. The distribution area is extensive, and the resource potential is significant, representing approximately 25% of China's total shale gas resources. Approaches for predicting reservoir fractures using seismic attributes has been well-established. Seismic attributes are frequently constrained by elements including the frequency and resolution of seismic data. The characteristics of transitional shale reservoirs, including complex lithological combinations, frequent changes in lithology, low resolution and variable frequency of seismic data, as well as the presence of strong reflection shielding in coal seams, significantly influence fracture prediction. The use of a single seismic attribute technique presents challenges in delivering a thorough and precise prediction of fractures within transitional reservoirs. This study extracts discontinuity information of large fractures, fine fractures, and fractures obscured by strong reflections from coal seams using variance attributes, amplitude contrast attributes, and the amplitude of diffracted waves, respectively. The discontinuity features obtained from the three methods are monitored through an ant-tracking technique and integrated. Fractures in the work area are methodically described. The near-offset Rüger formula method is utilized to analyze the pre-stack wide-azimuth gathers. Anisotropic gradients and anisotropic directions have been derived. The results of the fracture prediction are analyzed and validated. A novel and reliable methodology, designed specifically for the challenges of transitional shale reservoirs, has been developed for combined pre-stack and post-stack seismic multi-scale fracture prediction. The robust reflection shielding effect of the coal seam has been effectively eliminated. The characterization of fractures in transitional shale reservoirs has been enhanced.https://doi.org/10.1007/s40948-024-00926-yFracture characterizationDiffracted wave separationAVAZ analysisAnt-trackingMulti-attribute fusionTransitional shale
spellingShingle Hongjie Peng
Jingtao Zhao
Zhen Qiu
Qin Zhang
Wen Liu
Weiliang Kong
Wanli Gao
Tongjie Sheng
Wenyu Li
Yugang Yang
Multi-scale fracture characterization method for transitional shale reservoir based on post-stack multi-attribute ant-tracking fusion and pre-stack wide-azimuth gathers AVAZ analysis
Geomechanics and Geophysics for Geo-Energy and Geo-Resources
Fracture characterization
Diffracted wave separation
AVAZ analysis
Ant-tracking
Multi-attribute fusion
Transitional shale
title Multi-scale fracture characterization method for transitional shale reservoir based on post-stack multi-attribute ant-tracking fusion and pre-stack wide-azimuth gathers AVAZ analysis
title_full Multi-scale fracture characterization method for transitional shale reservoir based on post-stack multi-attribute ant-tracking fusion and pre-stack wide-azimuth gathers AVAZ analysis
title_fullStr Multi-scale fracture characterization method for transitional shale reservoir based on post-stack multi-attribute ant-tracking fusion and pre-stack wide-azimuth gathers AVAZ analysis
title_full_unstemmed Multi-scale fracture characterization method for transitional shale reservoir based on post-stack multi-attribute ant-tracking fusion and pre-stack wide-azimuth gathers AVAZ analysis
title_short Multi-scale fracture characterization method for transitional shale reservoir based on post-stack multi-attribute ant-tracking fusion and pre-stack wide-azimuth gathers AVAZ analysis
title_sort multi scale fracture characterization method for transitional shale reservoir based on post stack multi attribute ant tracking fusion and pre stack wide azimuth gathers avaz analysis
topic Fracture characterization
Diffracted wave separation
AVAZ analysis
Ant-tracking
Multi-attribute fusion
Transitional shale
url https://doi.org/10.1007/s40948-024-00926-y
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