Abstract

AbstractThe prediction results of lithology and physical properties of seismic inversion play a key role in constraining the development modeling, especially in the early stage of development, when well data is not sufficient. However, conventional seismic inversion methods are mainly carried out in time domain. The low resolution result is difficult to meet the requirements of reservoir prediction in the development stage, and needs time-depth conversion before it can be used. Application of seismic inversion results are therefore restricted in the development stage. In order to solve the above problems, a Markov Chain Monte Carlo stochastic simulation algorithm based on seismic waveform is proposed for direct invert of seismic data in depth domain. The inversion method makes full use of the lateral variation information of seismic waveform, has low requirements on well distribution, and can produce more reasonable lateral prediction results; and directly inverts the depth domain seismic data, overcomes the loss of high-frequency information in the process of well-seismic calibration, and effectively improves the resolution of inversion algorithm; the inversion results do not need time-depth conversion, and can be directly compared with wells, so as to constrain the building of development modeling. The inversion method has been effectively applied to the prediction of marine clastic reservoir in Block M, Middle East. The vertical resolution is high; the lateral connection of sandbody is predicted; and the study can be effectively used in the establishment of the development modeling.KeywordsThe early stage of developmentReservoir predictionSeismic motion inversion in depth domain

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