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A Research On Deep Seismic Imaging Technique In Chaoyanggou Area In Songliao Basin

Posted on:2010-02-25Degree:MasterType:Thesis
Country:ChinaCandidate:D R LiuFull Text:PDF
GTID:2120360278957789Subject:Geological Engineering
Abstract/Summary:PDF Full Text Request
Chaoyanggou area is on Xudong slope and Zhaodong-Chaoyanggou anticlinal zone in Xujiaweizi deep fault depression. It's composed of a series of low bulges in the northern edge of Xujiaweizi fault depression. Xudong is the major area for deep gas explorations. In order to figure out the reservoir distribution features of the two layer systems of volcanic rocks and glutenites, and to further the knowledge for the gas-reserving laws, Xujiaweizi deep seismic data precessing must be improved and some pre-stack migration imaging techniques which are adaptable for the area must be studied.In this paper, based on the 3D seismic data of Chaoyanggou area, the key techniques of deep complicated structure imaging for the continuous data have been mainly studied and explored particularly, which is in accord with the requirements of processing techniques in the current gas explorations. This paper analyses various static correction methods and their range of applications, and realizes comprehensive modeling static correction methods. In order to provide the trace gathers with high S/N ratio for the pre-stack migration processing, this paper presents pre-stack noise suppression technique, focused on various noise features. For the large energy differences of the continious data, the paper performs the longitudinal amplitude compensation and lateral amplitude equalization effectively, by using spherical diffusion compensation, surface-consistent amplitude compensation and residual amplitude compensation. In order to stress the composite wave features of the deep weak effective signals and improve the longitudinal resolution of the data adequately, the paper achieves multi-domain statistics surface-consistent deconvolution. For ensuring deep high accuracy imaging, the paper explores an effective velocity modeling method, using Kirchoff pre-stack migration algorithm which is widely used in the current industry production for imaging.Through a detailed research and analysis to various techniques, a series of processing techniques has been formed focused on the deep seismic data in Xujiaweizi, which provides a technical support of processing for the recognition of deep volcanic rock reservoirs and gas-reservoir traps, as well as a further breakthrough in the gas explorations.
Keywords/Search Tags:Deep seismic imaging, static correction, energy compensation, resolution, pre-stack time migration
PDF Full Text Request
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