We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
致密层去除均一反射层方法研究及应用 ——以鄂尔多斯盆地 SD 地区为例 .
- Authors
窦玉坛; 李 斐; 杜广宏; 刘 峰; 王大兴; 王永刚; 张盟勃; 黄 研
- Abstract
SD area in Ordos Basin is a typical tight gas area with low porosity and low permeability, but coal seams are generally developed in Shan 2 Member and Taiyuan Formation of Upper Paleozoic Permian in this area. The strong reflection will mask the effective reservoir response characteristics above and below, and the background sedimentation also masks some characteristics of the reservoir. Therefore, in this paper, seismic records are defined as the combination of homogeneous reflector and lithologic body reflection. The seismic characteristics of homogeneous reflector are low frequency and stable phase, which will interfere with effective reservoir prediction. A homogeneous reflector extraction method based on improved Hebb neural network principal component analysis is proposed, and Ricker wavelet kernel function is introduced. The original seismic data is transformed into the feature space through the inner product operation, and the nonlinear features are extracted to solve the problem that the seismic data samples in the original sample space are linearly inseparable. Using the unsupervised online learning ability of this method, the iterative algorithm is designed to obtain the uniform reflector, and finally the lithologic body is transformed to realize the fine characterization of the reservoir. By constructing a two-dimensional model containing coal seams, the feasibility of removing uniform reflection layer by this method is verified, and applied to work area of SD area, which can effectively remove the influence of uniform reflection layer (including removing strong reflection layer), which is conducive to improving the accuracy of effective reservoir fine reservoir description using high-dimensional seismic data.
- Publication
Natural Gas Geoscience, 2022, Vol 33, Issue 5, p820
- ISSN
1672-1926
- Publication type
Article
- DOI
10.11764/j.issn.1672-1926.2021.10.020