Method and device for predicting output of oil and gas well

Abstract

The invention provides a method and device for predicting the output of an oil and gas well, and the method comprises the steps: obtaining the actual effective output data of the oil and gas well in a plurality of historical production time periods; respectively predicting the output of the oil and gas well in at least one historical production time period and one future production time period through employing a hyperbolic decline method, an exponential decrease method and a curve fitting method and the actual effective output data of the oil and gas well; calculating the residual sums of squares of prediction results of the above three methods according to various types of obtained output prediction data of the oil and gas well and the actual effective output data of the oil and gas well; selecting the minimum residual sum of squares, and enabling the data, obtained through the method which obtains the minimum residual sum of squares, of the oil and gas well in the future production time period to serve as the final output prediction result of the oil and gas well. The method selects the oil and gas output prediction result with the highest accuracy from the results of three prediction methods through residual error evaluation.

Description

technical field [0001] The invention relates to the field of oil and natural gas exploitation, in particular to an oil and gas well production prediction method and a device thereof. Background technique [0002] In the actual production process of the oil field, the output is the most concerned data of the staff. Forecasting production is helpful to guide production and carry out decision-making analysis, so production forecasting methods have always attracted the attention of oilfield workers. [0003] However, most of the current production forecasting algorithms use a single data model for forecasting. Due to the incompleteness of the existing production prediction models, the prediction accuracy of oil and gas production is not high and needs to be improved urgently. [0004] Therefore, how to formulate a complete set of production forecasting models and corresponding methods for the special oilfield industry is a key technical problem that needs to be solved urgently...

AI Technical Summary

Problems solved by technology

[0003] However, most of the current production forecasting algorithms use a single data model for forecasting

Due to the incompleteness of the existing production prediction models, the prediction accuracy of oil and gas production is not high, and it is urgent to improve

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