基于分频构形反演方法的河道砂精准预测——以华北冀中探区赵皇庄地区为例

doi:10.11720/wtyht.2021.1294

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Abstract

Channel sand bodies have the characteristics of thin single-layer thickness,small scale,scattered distribution,and strong heterogeneity.In conventional model inversion and prediction,there are problems such as serious modeling,low lateral resolution,and easily damaging the structural morphology of sedimentary bodies,which results in low prediction accuracy.This study uses the frequency-divided configuration inversion method to accurately predict channel sand.This method fully considers the dominant frequency band of logging and seismic and waveform change characteristics,and combines the low,medium and high frequency band models to form the initial model.Then under the framework of Bayesian,the inversion result of the whole frequency band is corrected through the constraints of the seismic synthesis record.In the practice of forecasting thin and small channel sand reservoirs in the Zhaohuangzhuang area,the inversion results have higher vertical and horizontal resolutions,which better support the well placement in this area.The sand body is reasonable and clear for the horizontal stacking relationship and sharp point,and conforms to the distribution characteristics of the sediment body of the meandering river for the plane distribution.Meanwhile,the predicted rate of resolving reservoirs with a thickness of more than 4 m is over 80%.The precise prediction method of thin and small sand bodies based on frequency division configuration inversion has certain guiding significance for the prediction of seismic reservoirs in similar regions or zones.

Key words： frequency division configuration modeling Bayesian stochastic inversion channel sand reservoir prediction

Received: 07 June 2020 Published: 15 December 2021

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	Articles by authors
	Hong-Zhou LIU
	Meng-Hua WANG
	Hao ZHANG
	Ling-Li PENG
	Wen LI
	Jie ZHANG
	Zhi-Peng ZHAO
	Ze-Jing WU

Cite this article:

Hong-Zhou LIU,Meng-Hua WANG,Hao ZHANG, et al. Accurate prediction of channel sand based on frequency-divided configuration inversion method:A case study of Zhaohuangzhuang area in Jizhong Sag,Huabei Oilfield[J]. Geophysical and Geochemical Exploration, 2021, 45(5): 1311-1319.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2021.1294 OR https://www.wutanyuhuatan.com/EN/Y2021/V45/I5/1311

Geological overview map of Zhaohuangzhuang area

Schematic diagram of frequency division configuration modeling

The key technical process of frequency division configuration inversion

Comparison of seismic profiles before and after frequency extension based on compressed sensing method
a—seismic section before extension frequency;b—seismic spectrum before extension frequency;c—seismic section after extension frequency;d—seismic spectrum after extension frequency

Comparison of well-to-seismic calibration before and after frequency extension

The correction of log curve
a—environmental correction of AC;b—mudstone baseline correction of SP

Analysis of rock physical characteristics
a—analysis of AC and SP intersection;b—analysis of reconstructed impedance and AC intersection

Forward modeling and simulation results
a—analysis of AC and SP intersection;b—analysis of reconstructed impedance and AC intersection

Comparison of inversion effects of frequency division configuration inversion with different inversion parameters
a—waveform comparison time window 15 ms,waveform similarity degree 0.75;b—waveform comparison time window 30 ms, waveform similarity degree 0.9;c—waveform comparison time window 30 ms,waveform similarity degree 0.5;d—waveform comparison time window 30 ms, waveform similarity degree 0.75

Wave impedance model for different frequency bands
a—mid-low frequency impedance model;b—high frequency impedance model;c—full frequency band impedance model

Comparison of initial models of different modeling methods
a—conventional interpolation modeling between wells;b—frequency division configuration modeling

Comparison of different modeling methods and parameter inversion results
a—frequency division configuration inversion(key parameter:30 ms,0.75);b—reservoir profile;c—frequency division configuration inversion(key parameter:30 ms,0.79);d—conventional model inversion

Error prediction for thickness of single sand body in target interval

Plan of inversion prediction of sand thickness in target interval
a—sand body thickness of the 1^st sand group in the study area;b—inversion profile through well S,design 1 and T;c—inversion profile through well design 1 and design 2

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