Oil and gas field production capacity prediction method and device

Abstract

The invention provides an oil and gas field production capacity prediction method and device. The method comprises the steps of acquiring a water flooding characteristic curve of an oil and gas field from oil field production data; determining a function relation between stage oil production and liquid production of the oil and gas field according to the water flooding characteristic curve; generating an oil and gas field production capacity prediction result according to the production capacity data in the oil field production data and the function relation between stage oil production and liquid production of the oil and gas field. Since the water flooding characteristic curve of the water flooding oil field is used for predicting the oil and gas field production capacity, in combination with production indexes in an oil filed plan, the liquid drainage amount and the water production amount needed from completion of the oil production index can be calculated, the oil and water production under a certain liquid production plan can also be calculated, the effect of considering the influence of production fluctuation in a prediction model is realized and higher-accuracy production fitting is realized.

Description

technical field [0001] The invention relates to the field of petroleum exploration, in particular to the development technology of water flooding oil reservoirs, in particular to a method and device for predicting oil and gas field productivity. Background technique [0002] The water drive characteristic curve reflects the production law of the oil field in the middle and high water cut stage, and its rationality has been verified in several offshore oil fields with complete production records. [0003] The research on productivity prediction methods in the prior art is mostly based on the basic laws of oil and gas seepage, combined with different reservoir types, well types, development methods, etc. to make in-depth expansion, but these research methods are based on the line fitting of production data as the fitting target, there is no way to put the fitting target on the point data of each month or even every day, so the fitting accuracy is not very high. Once there are ...

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Problems solved by technology

[0003] The research on productivity prediction methods in the prior art is mostly based on the basic laws of oil and gas seepage, combined with different reservoir types, well types, development methods, etc. to make in-depth expansion, but these research methods are based on the line fitting of production data as the fitting target, there is no way to put the fitting target on the point data of each month or even every day, so the fitting accuracy is not very high. Once there are major changes in oilfield production measures or production conditions, these production prediction methods cannot time to respond effectively to unexpected bursts, in which case yield forecasts can vary significantly

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