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Prediction method for volcanic rock oil reservoir productivity

A prediction method and technology of volcanic rock, which is applied in the direction of earthwork drilling and production, wellbore/well components, etc., can solve the problems of poor productivity prediction effect of volcanic rock reservoirs, and achieve high precision results

Active Publication Date: 2015-06-10
BC P INC CHINA NAT PETROLEUM CORP +1
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Problems solved by technology

[0003] The present invention provides a method for predicting the productivity of volcanic rock reservoirs, which overcomes the deficiencies of the above-mentioned prior art, and can effectively solve the problem that the productivity prediction method of the analogy method known in the aspect of productivity prediction of volcanic rock reservoirs has a poor predictive effect on the productivity of volcanic rock reservoirs The problem

Method used

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  • Prediction method for volcanic rock oil reservoir productivity
  • Prediction method for volcanic rock oil reservoir productivity
  • Prediction method for volcanic rock oil reservoir productivity

Examples

Experimental program
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Effect test

Embodiment 1

[0022] Example 1, as attached figure 1 As shown, the volcanic reservoir productivity prediction method is carried out in the following steps: The first step is to collect the basic parameters of the reservoir itself or the reservoir of similar reservoirs in the target block that has been tested, including single well productivity Q and injection Reservoir thickness h, crude oil volume factor B 0 , Comprehensive skin coefficient s, perforation productivity ratio PR, start-up pressure gradient λ, well test permeability after fracturing K s , Formation pressure p e , Flow pressure p w , Wellbore radius r w , Fluid viscosity u, long fracture, among them, well test permeability after fracturing K s The unit is mD, formation pressure P e , Flow pressure P w The unit is MPa, the radius of the wellbore r w The unit of is m, and the unit of fluid viscosity u is MPa·s;

[0023] The second step is to substitute the parameters collected in the first step into the capacity prediction model form...

Embodiment 2

[0031] Example 2, as attached figure 1 As shown, as the preferred embodiment of the above-mentioned embodiment, after the oil test of the prediction well is performed, the actual recorded oil test productivity is obtained, and the accuracy of the actual recorded oil test productivity and the predicted single well productivity are tested, if the error is less than or equal to 40% , The prediction model can continue to be used to predict the reservoir productivity of the next target prediction well. If the error is greater than 40%, the cause needs to be analyzed. If the calculation of each parameter is correct, the well data needs to be substituted into the original x value to fit The model is refitted and the x value is corrected.

Embodiment 3

[0032] Example 3, as attached figure 1 As shown, as a preference of the above-mentioned embodiment, when the selected downhole fluid of the target block is oil, the substituted fluid viscosity u selects the viscosity of the corresponding oil, and when the selected downhole fluid of the target block is water, substitute The fluid viscosity u selects the viscosity of water.

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Abstract

The invention relates to the technical field of oil reservoir productivity prediction, in particular to a prediction method for volcanic rock oil reservoir productivity. The prediction method comprises the following steps: step one, collecting the oil reservoir basic parameters of oil reservoirs or similar oil reservoirs of tested oil wells in target blocks, including individual well productivity Q, perforation reservoir thickness h, crude oil volume factor B0, comprehensive skin factor s, perforation productivity ratio PR, starting pressure gradient lambda, after-pressing well testing permeability Ks, formation pressure pe, flowing pressure pw, wellbore radius rw, fluid viscosity u, and fracturing fracture length, wherein the unit of the after-pressing well testing permeability Ks is mD, the units of the formation pressure Pe and the flowing pressure Pw are MPa, the unit of the wellbore radius rw is m, and the unit of the fluid viscosity u is MPa*s. Compared with an existing analogy method, the prediction method is more targeted, and the precision is higher, the precision can be improved to 60% above through the method disclosed by the invention, and a good method is provided for exploration oil testing, layer selection and the like.

Description

Technical field [0001] The invention relates to the technical field of oil reservoir productivity prediction, and is a volcanic rock reservoir productivity prediction method. Background technique [0002] With the deepening of oil and gas exploration, the exploration field will face more volcanic reservoirs. Their productivity prediction directly affects the oil and gas yield of drilling. How to improve the accuracy of oil and gas yield through productivity prediction has become an urgent technical problem to be solved. Although there are many methods for reservoir evaluation, there are few studies on comprehensive systematic evaluation methods for volcanic rock complex reservoir conditions. With the continuous deepening of volcanic reservoir development, how to comprehensively use oil well logging, analysis and testing and well test analysis techniques to predict the productivity of volcanic reservoirs has attracted more and more attention, which is directly related to the level...

Claims

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Application Information

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IPC IPC(8): E21B49/00
CPCE21B49/00
Inventor 王新河胡广文张俊明苏建华吴保中王福升杜宗和徐伟红张晓文丁心鲁周超王金礼封猛
Owner BC P INC CHINA NAT PETROLEUM CORP
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