2015Advances in intelligent systems research/Advances in Intelligent Systems ResearchOpen access

Application of Geostatistical Inversion Data in Thin Sand Body Modeling

Qiang Wang

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Abstract

On the basis of understanding the reservoir characteristics of Block S, this paper established the sand body and oil reservoir property model with geostatistical inversion data, in combination with geological modeling technology and petrel software under the restriction of sandstone vertical probability and wave impedance.The result showed under the control of sedimentation model, the combination of geostatistical seismic inversion and geological modeling technology could comprehend the advantages of shaft data and seismic data information and improve the prediction accuracy of inter-shaft and vertical reservoir.This method has a guiding significance in the evaluation of thin-layer oil reservoir and the shaft site deployment.Reservoir modeling and seismic data inversion are two technologies to predict the transverse spreading characteristics of the reservoir [1], and the two have different emphases.The geological modeling is used to quantitatively characterize and depict the non-homogeneity characteristics of reservoir, predict the uncertainty and risk in oil and gas survey and development.The advantage of seismic inversion technology lies in the extensive transverse coverage of seismic data.However, due to the limitation of seismic resolution, it is difficult to predict the thin reservoir.In recent years, the geostatistical inversion has played a more and more important role in the reservoir prediction [2][3][4][5].For the thin oil reservoir, only by combining the two technologies can the reservoir be described accurately.

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What this paper is about

On the basis of understanding the reservoir characteristics of Block S, this paper established the sand body and oil reservoir property model with geostatistical inversion data, in combination with geological modeling technology and petrel software under the restriction of sandstone vertical probability and wave impedance.The result showed under the control of sedimentation model, the combination of geostatistical seismic inversion and geological modeling technology could comprehend the advantages of shaft data and seismic data information and improve the prediction accuracy of inter-shaft and vertical reservoir.This method has a guiding significance in the evaluation of thin-layer oil reservoir and the shaft site deployment.Reservoir modeling and seismic data inversion are two technologies to predict the transverse spreading characteristics of the reservoir [1], and the two have different emphases.The geological modeling is used to quantitatively characterize and depict the non-homogeneity characteristics of reservoir, predict the uncertainty and risk in oil and gas survey and development.The advantage of seismic inversion technology lies in the extensive transverse coverage of seismic data.However, due to the limitation of seismic resolution, it is difficult to predict the thin reservoir.In recent years, the geostatistical inversion has played a more and more important role in the reservoir prediction [2][3][4][5].For the thin oil reservoir, only by combining the two technologies can the reservoir be described accurately.

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Available abstract

On the basis of understanding the reservoir characteristics of Block S, this paper established the sand body and oil reservoir property model with geostatistical inversion data, in combination with geological modeling technology and petrel software under the restriction of sandstone vertical probability and wave impedance.The result showed under the control of sedimentation model, the combination of geostatistical seismic inversion and geological modeling technology could comprehend the advantages of shaft data and seismic data information and improve the prediction accuracy of inter-shaft and vertical reservoir.This method has a guiding significance in the evaluation of thin-layer oil reservoir and the shaft site deployment.Reservoir modeling and seismic data inversion are two technologies to predict the transverse spreading characteristics of the reservoir [1], and the two have different emphases.The geological modeling is used to quantitatively characterize and depict the non-homogeneity characteristics of reservoir, predict the uncertainty and risk in oil and gas survey and development.The advantage of seismic inversion technology lies in the extensive transverse coverage of seismic data.However, due to the limitation of seismic resolution, it is difficult to predict the thin reservoir.In recent years, the geostatistical inversion has played a more and more important role in the reservoir prediction [2][3][4][5].For the thin oil reservoir, only by combining the two technologies can the reservoir be described accurately.

Key concepts: Inversion (geology), Geology, Computer science, Geomorphology, Structural basin

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