基于地层切片的小尺度沉积相定量解释方法

doi:10.13278/j.cnki.jjuese.201603303

Abstract

Abstract:

Traditional waveform classification and reflection structure attribute mapping based on seismic data are used for the recognition of large scale (larger than λ/4) and the qualitative sedimentary facies, however, they cannot satisfy the requirements for exploration of the thin layer (less than λ/4). Strata slice is the key technology of seismic sedimentology, it is found that the deposit body in seismic data is easier to identify in horizontal imaging than vertical direction, it also clearly describes the distribution features and provides the reliable data for small-scale (usually less than λ/4, even the level of single layer) sedimentary facies analysis. Scale size mainly depends on the sampling ratestrata slice, the higher the sampling rate is, the smaller the target size is. Firstly, based on the extraction, optimization, and fusion of sedimentary microfacies attributes at the well points, the proposed method gets the feature attributes data of sedimentary microfacies, which is used for making strata slices, then we process the strata slices according to the rule of "what you see is what you want!" that includes image segmentation and smoothing boundary lines. Finally, we label the segmentation regions using the mathematical mapping relationship among sedimentary microfacies, feature attributes, and image characteristics of strata slices. In this paper, the interpretation method of sedimentary facies based on seismic data is developed from qualitative to quantitative and from large scale to smaller scale. The boundary lines of sedimentary facies are more precise than well-control extraction, it provides the data basis for reservoir prediction and well placement inexploration and development stage.

Key words: feature attributes of sedimentary microfacies, strata slice, seismic sedimentolog, image processing

CLC Number:

P631.4

Zhang Zhaohui, Liu Huaqing, Su Mingjun. Quantitative Interpretation Method of Small-Scale Sedimentary Facies Based on Strata Slice[J].Journal of Jilin University(Earth Science Edition), 2016, 46(3): 893-899.

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