Method for predicting productivity of gas well in carbonate reservoir
A carbonate rock reservoir and prediction method technology, applied in prediction, measurement, earthwork drilling and other directions, can solve the problems of difficult and rapid prediction of gas well productivity, long data acquisition time, low accuracy of prediction results, etc., and achieves optimal testing. order, improve the test effect, and speed up the effect of the production schedule
Pending Publication Date: 2021-06-15
PETROCHINA CO LTD
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[0004] This application provides a method for predicting the productivity of gas wells in carbonate rock reservoirs, to solve the problem that the gas well productivity prediction method in the prior art takes a long time to obtain data, and it is difficult to quickly predict the gas well productivity, and it can be predicted quickly only by relying on the chart method production capacity, but the accuracy of forecast results is low
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[0068] For example, the main reservoir of Well Su X in the Lower Paleozoic in the Ordos Basin is Ma54. Firstly, the cross-section method and multi-parameter cross-comparison are used to intersect the various parameters obtained from well logging with the single-test unimpeded flow rate of this layer. A single open flow test is the productivity of a gas well. The logging response characteristics of high-yield wells with open flow > 200,000 m3 / day and low-yield wells with open flow figure 2 Shown:
[0069] Table 1 Mawu in the Ordos Basin 4 Data table of gas test open flow and logging response characteristics
[0070]
[0071] Then, by establishing the correlation fitting curve between the gas test unobstructed flow rate and the logging parameters in the main intervals of the development of the lower paleo-gas reservoirs, the correlation coefficient R value is obtained, and the correlation between the productivity of the gas well and the logging parameters is analyzed, as sho...
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The invention discloses a method for predicting the productivity of a gas well in a carbonate reservoir. The method can rapidly predict the productivity of the gas well based on static data of a well to be predicted, and the method comprises the following steps that firstly, logging parameters of a development main layer of the drilled gas well in the carbonate reservoir and the single-test productivity of the layer are collected; the productivity is intersected with each logging parameter by using a cross plot method, logging response characteristics corresponding to different productivity are analyzed according to an intersection result, and correlation between the gas well productivity and each logging parameter is determined by using a fitting curve correlation coefficient R; and the logging parameters with high correlation are selected to calculate the productivity prediction factor F of the well, the correlation relation between the gas well productivity of different karst palaeogeomorphology units and the productivity prediction factor can be fitted through the multiple gas well sample points, and the productivity of the well to be tested can be rapidly predicted through the relation. According to the method, the karst palaeogeomorphology and the gas well productivity prediction factor are combined to predict the productivity, and the productivity coincidence rate is obviously improved.
Description
technical field [0001] The present application relates to the technical field of carbonate gas well development, in particular to a method for predicting the productivity of gas wells in carbonate reservoirs. Background technique [0002] Generally, gas wells are drilled through formation tests to obtain relevant pressure values, and use the productivity equation to obtain the open flow rate of the gas well to determine the gas well productivity. This method belongs to the method of using dynamic data to obtain productivity. Its advantage is that the productivity is more accurate. , the disadvantage is that it can only be obtained after passing the formation test. However, there is an urgent need to quickly predict gas well productivity through static data before formation testing or without formation testing at the site of gas field productivity construction. The significance of quickly predicting productivity before formation testing lies in: ① Optimizing the sequence of ...
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IPC IPC(8): E21B49/00E21B47/00G06Q10/04G06Q50/02
CPCE21B49/00E21B47/00G06Q10/04G06Q50/02
Inventor 冯敏白慧李浮萍李进步李武科王树慧李义军赵忠军于占海段志强黄丹
Owner PETROCHINA CO LTD