Multi-layer oil reservoir overall yield prediction method

Abstract

The present invention discloses a multi-layer oil reservoir overall yield prediction method. The method comprises: dividing a multi-layer oil reservoir into a plurality of blocks, determining a reservoir stratum type, a formation factor Kh and an evaluated reserve volume of each small layer of each block; selecting, from the plurality of blocks, a block representing a multi-layer oil reservoir geological feature as a representative block, establishing a fine geological model of the representative block; establishing a corresponding fine numerical simulation model according to the fine geological model of the representative block, determining a typical mining curve of different types of reservoir strata in different development manners; determining a relationship curve between a single well injection amount and Kh in the multi-layer oil reservoir, and a relationship curve between a produced quantity and Kh; and predicting a multi-layer oil reservoir yield according to the typical mining curve, the relationship curve between the injection amount and Kh, the relationship curve between the produced quantity and Kh, and the reservoir stratum type, Kh and evaluation reserve volume of each small layer of each block. According to the multi-layer oil reservoir overall yield prediction method, the prediction accuracy of the multi-layer oil reservoir overall yield is improved, and further, working efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of prediction of development indexes of oil and gas reservoirs, in particular to a method for predicting the overall output of multi-layer reservoirs. Background technique [0002] For large oil and gas fields, it takes a lot of manpower and material resources to establish a fine geological model, and it is still difficult to ensure that the knowledge of reservoir distribution and sand body connectivity in each region of the oilfield is consistent with expectations. The fine reservoir geological model is often coarsened due to the large number of grids and slow numerical simulation calculation speed, and then the numerical simulation work is carried out. However, the coarsened model cannot accurately represent some strong heterogeneity changes inside the reservoir. [0003] At present, due to the large amount of numerical simulation calculations in unconventional oil and gas reservoirs at home and abroad, i...

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Problems solved by technology

However, for ordinary multi-layer reservoirs, due to the complexity of their development, it is not possible to simply use the production curves of existing production wells to predict the production of the entire reservoir.

Because the development of multi-layer oil and gas reservoirs involves different development methods such as different well patterns and well spacing, water injection and gas injection, and measures such as water plugging and sealing layers of oil wells due to high water cut, the typical curves of several types of wells cannot consider different development methods. The influence of different methods on development, the method is limited and one-sided to a certain extent, which makes the production prediction accuracy of multi-layer whole reservoir lower

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