Research and Application of Globally Optimized Sequence Stratigraphic Seismic Interpretation Technology: Taking the Lower Cretaceous Shahezi Formation of Xujiaweizi Fault Depression as an Example

In the study of sequence stratigraphy in continental rift basins, the use of seismic data to track different levels of sequence stratigraphic boundaries laterally is the key to the division of sequence stratigraphic units at all levels and the establishment of an isochronous sequence stratigraphic f...

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Main Authors: Xiaowei Guan, Qian Meng, Chuanjin Jiang, Xinyu Liu, Menglu Han
Format: Article
Language:English
Published: Hindawi-Wiley 2021-01-01
Series:Geofluids
Online Access:http://dx.doi.org/10.1155/2021/7564374
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spelling doaj-6748fb23cb474da2872ab62b71d7be172021-09-27T00:53:10ZengHindawi-WileyGeofluids1468-81232021-01-01202110.1155/2021/7564374Research and Application of Globally Optimized Sequence Stratigraphic Seismic Interpretation Technology: Taking the Lower Cretaceous Shahezi Formation of Xujiaweizi Fault Depression as an ExampleXiaowei Guan0Qian Meng1Chuanjin Jiang2Xinyu Liu3Menglu Han4Northeast Petroleum UniversityNortheast Petroleum UniversityDaqing Oilfield Exploration and Development InstituteNortheast Petroleum UniversityDaqing Oilfield Exploration and Development InstituteIn the study of sequence stratigraphy in continental rift basins, the use of seismic data to track different levels of sequence stratigraphic boundaries laterally is the key to the division of sequence stratigraphic units at all levels and the establishment of an isochronous sequence stratigraphic framework. Traditional seismic interpretation and the establishment of a 3D sequence stratigraphic structure model are a difficult research work. This paper introduces the concept of cost function minimization and performs global stratigraphic scanning on 3D seismic data to interpret horizons and faults in a large grid. Constrained by the results, human-computer interactive intelligent interpretation, by adding iterative interpretation of geological knowledge, established a global stratigraphic model with a relative geological age. The application in the Lower Cretaceous Shahezi Formation of Xujiaweizi fault depression shows that this technology has improved the accuracy and efficiency of sequence stratigraphic interpretation, and the application of this technology has achieved the interpretation of each event horizon under the current seismic data resolution conditions. In this way, a continuous sequence stratigraphic model is established. From this stratigraphic model, any high-frequency sequence-interpreted seismic horizon can be extracted, which provides a basis for the combination of lateral resolution and longitudinal resolution of subsequent reservoir prediction.http://dx.doi.org/10.1155/2021/7564374
collection DOAJ
language English
format Article
sources DOAJ
author Xiaowei Guan
Qian Meng
Chuanjin Jiang
Xinyu Liu
Menglu Han
spellingShingle Xiaowei Guan
Qian Meng
Chuanjin Jiang
Xinyu Liu
Menglu Han
Research and Application of Globally Optimized Sequence Stratigraphic Seismic Interpretation Technology: Taking the Lower Cretaceous Shahezi Formation of Xujiaweizi Fault Depression as an Example
Geofluids
author_facet Xiaowei Guan
Qian Meng
Chuanjin Jiang
Xinyu Liu
Menglu Han
author_sort Xiaowei Guan
title Research and Application of Globally Optimized Sequence Stratigraphic Seismic Interpretation Technology: Taking the Lower Cretaceous Shahezi Formation of Xujiaweizi Fault Depression as an Example
title_short Research and Application of Globally Optimized Sequence Stratigraphic Seismic Interpretation Technology: Taking the Lower Cretaceous Shahezi Formation of Xujiaweizi Fault Depression as an Example
title_full Research and Application of Globally Optimized Sequence Stratigraphic Seismic Interpretation Technology: Taking the Lower Cretaceous Shahezi Formation of Xujiaweizi Fault Depression as an Example
title_fullStr Research and Application of Globally Optimized Sequence Stratigraphic Seismic Interpretation Technology: Taking the Lower Cretaceous Shahezi Formation of Xujiaweizi Fault Depression as an Example
title_full_unstemmed Research and Application of Globally Optimized Sequence Stratigraphic Seismic Interpretation Technology: Taking the Lower Cretaceous Shahezi Formation of Xujiaweizi Fault Depression as an Example
title_sort research and application of globally optimized sequence stratigraphic seismic interpretation technology: taking the lower cretaceous shahezi formation of xujiaweizi fault depression as an example
publisher Hindawi-Wiley
series Geofluids
issn 1468-8123
publishDate 2021-01-01
description In the study of sequence stratigraphy in continental rift basins, the use of seismic data to track different levels of sequence stratigraphic boundaries laterally is the key to the division of sequence stratigraphic units at all levels and the establishment of an isochronous sequence stratigraphic framework. Traditional seismic interpretation and the establishment of a 3D sequence stratigraphic structure model are a difficult research work. This paper introduces the concept of cost function minimization and performs global stratigraphic scanning on 3D seismic data to interpret horizons and faults in a large grid. Constrained by the results, human-computer interactive intelligent interpretation, by adding iterative interpretation of geological knowledge, established a global stratigraphic model with a relative geological age. The application in the Lower Cretaceous Shahezi Formation of Xujiaweizi fault depression shows that this technology has improved the accuracy and efficiency of sequence stratigraphic interpretation, and the application of this technology has achieved the interpretation of each event horizon under the current seismic data resolution conditions. In this way, a continuous sequence stratigraphic model is established. From this stratigraphic model, any high-frequency sequence-interpreted seismic horizon can be extracted, which provides a basis for the combination of lateral resolution and longitudinal resolution of subsequent reservoir prediction.
url http://dx.doi.org/10.1155/2021/7564374
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