Abstract
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.
Highlights
With the continuous deepening of oil and gas exploration and development, deep tight gas in continental rift basins has gradually become a key area of unconventional natural gas exploration [1, 2]
This paper divides the three-dimensional seismic data into multiple grids by limiting the adjacent seismic traces as one panel, introducing the concept of cost function minimization, and connecting the horizons of each panel in the order from early to late together, and a global stratigraphic model with a relative geological age is established by means of humancomputer interaction and intelligent interpretation
The human-computer interaction intelligent high-frequency sequence interpretation is through continuous addition of geological knowledge and repeated iterations to build a global stratigraphic model with a relative geological age
Summary
With the continuous deepening of oil and gas exploration and development, deep tight gas in continental rift basins has gradually become a key area of unconventional natural gas exploration [1, 2]. Under this situation, there is an urgent need to improve the accuracy and efficiency of sequence stratigraphic seismic interpretation in continental rift basins, increase the accuracy of stratigraphic prediction, and provide a scientific basis for exploration [3]. By connecting the sampling points of each seismic event axis, the horizon interpretation of each event axis under the current seismic data resolution conditions is realized, thereby establishing a continuous sequence stratigraphic model, which
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