Method for forecasting oil gas utilizing earthquake data object constructional features

Abstract

The invention provides a method for forecasting the oilgas using the earthquake data body structure feature, comprising: extracting the earthquake amplitude data sequence; establishing gray sequence forecasting model; computing the amplitude data sequence predicted value of the earthquake data; calculating the error between the predicted value and the measured value; determining the earthquake amplitude data gray abnormal value segment based on the error; the original earthquake amplitude data and each earthquake amplitude data gray abnormal value segment being subjected to dimensionless treatment to respectively obtain the parent sequence and each subsequence; computing the correlation coefficient between the parent sequence and each subsequence and then computing the association degrees betweent the parent sequence and each subsequence based on the correlation coefficient; obtaining the association sequence by sorting the association degrees by size and determining the oilgas layer based on the association sequence. The method does not have too many condition limits to the data and is suitable for each stage of the oilgas field from exploring to developing with wide application field and reliable precasted result.

Description

technical field [0001] The invention relates to a method for predicting oil and gas, in particular to a method for predicting oil and gas by utilizing structural features of seismic data volumes. Background technique [0002] The amount of seismic information includes oil and gas information. The total amount of information recorded on the seismic line is very large, at least including oil and gas information and non-oil and gas information. When seismic waves pass through oil and gas layers, not only the seismic parameters change , and there are also different seismic data volume structures, the difference in the physical properties of oil and gas sandstone reservoirs and surrounding rocks, and the difference in fluid properties can not only make the seismic parameters Different seismic phases (that is, traditional prediction method, numerical difference method) will appear due to the change of seismic data, and different seismic data volume structures will also appear. Us...

AI Technical Summary

Problems solved by technology

In general, traditional oil and gas prediction methods are divided into vertical prediction and horizontal prediction methods, but due to the inconsistency between the two prediction methods, the vertical and horizontal oil and gas predictions have long been inconsistent, resulting in low prediction accuracy

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