A Geostatistical Inversion Method Constrained by High Resolution Sequence Stratigraphic Framework

Abstract

The invention relates to a high resolution sequence stratigraphic framework constraint geostatistical inversion method. The method comprises the steps that well-seismic calibration is carried out, and multi-well wavelets of an optimized target zone are extracted; based on well-seismic calibration, a high resolution sequence stratigraphic framework is established; according to target stratum seismic data, geological priori data and logging data, a geological low frequency model based on the high resolution sequence stratigraphic framework is built; sparse pulse inversion under high resolution sequence stratigraphic framework constraints is carried out to acquire a sparse pulse inversion data body; based on a meandering river geological knowledge base, target stratum logging data and seismic characteristic data are combined; the high resolution sequence stratigraphic framework constraints are used, optimized target stratum sandy land ratio and level range are selected; geostatistical inversion under the high resolution sequence stratigraphic framework constraints is carried out; based on a final geostatistical inversion result, a GR logging curve is used to carry out fine calibration on a reservoir; and seismic attributes extracted from the inversion result are used to predict reservoir sand plane distribution.

Description

technical field [0001] The invention relates to a geostatistical inversion method for prediction of oil and gas reservoirs, in particular to a geostatistical inversion method suitable for high-resolution sequence stratigraphic framework constraints under the condition of sparse well patterns in the sea. Background technique [0002] At present, most of the oil and gas fields in my country's sea areas have entered the middle and late stage of development, and the water cut is high. The development of oil and gas fields is becoming more and more difficult and risky. How to reasonably increase the recovery of oil fields has become an urgent problem to be solved. Accuracy of reservoir prediction. Therefore, it is imminent to study a fine reservoir prediction technology suitable for offshore oilfield development. For the sparse well pattern in the sea, it is difficult to control the fast-changing sand bodies vertically and horizontally by drilling wells with large well spacing, w...

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Problems solved by technology

The horizontal range selected in this way is greatly affected by human factors and has strong randomness. When it is used for constrained geostatistical inversion, the inversion results cannot truly characterize the characteristics of underground sedimentary bodies, which makes the research results inaccurate. Objectively reflect the spatial distribution of reservoir parameters

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