Oil field water flooding classification well group development effect benchmarking method

Abstract

The invention relates to an oil field water flooding classification well group development effect benchmarking method which comprises the following specific steps: (I) performing single well classification of an oil production well and a water injection well in an oil field block, and calculating a well group single-layer classification evaluation value; (II) establishing a calculation formula ofa water injection rate dividing coefficient of the water injection well, and calculating the water injection rate dividing coefficient of the water injection well; (III) correcting the water injectionrate dividing coefficient of the water injection well; (IV) acquiring the current-month accumulated effective water injection rate of the oil production well 1 in the well group, and establishing a relation curve between the current-month accumulated effective water injection rate of the well group and the current-month recovery percentage of the oil production well 1; (V) performing single wellgroup clustering in the class I, class II or class III well group by use of the Frechet distance algorithm and the relation curve between the accumulated effective water injection rate of the well group and the recovery percentage, to obtain a standard curve of recovery percentage of the well group; and (VI) based on the recovery percentage benchmarking curve data of three types of well groups, finding a single well group below the data of the three benchmarking curves, and performing development adjustment. The method provided by the invention is used for guiding the development work in the same type of blocks.

Description

technical field [0001] The invention relates to a method for finding out poor development effect wells in similar well groups in the water flooding process of an oil field, and provides a method for improving the recovery degree, and specifically relates to a benchmarking method for development effect benchmarking of water flooding classified well groups in an oil field. Background technique [0002] The practice of domestic and foreign oilfield exploitation shows that relying solely on natural energy exploitation cannot guarantee the long-term stable production of oilfields, and artificial water injection exploitation can be relied on to obtain a higher recovery factor. Therefore, it is particularly important to make a scientific evaluation of the waterflood development effect of the oilfield and to formulate a production strategy suitable for the geological characteristics in time. There are empirical formula method, gray system theory, neural network theory and other meth...

AI Technical Summary

Problems solved by technology

These methods have some limitations in practical application. For example, they are mainly aimed at a specific period of oilfield water injection development. Different methods should consider their scope of application, and do not make full use of the existing production dynamic data or monitoring data from the beginning of production to the present.

Images