Reservoir Block Profile Control Decision-making System As A Whole

Most of the fields in China has entered a water injection development in the late, long-term water drive reservoir heterogeneity more serious, and the formation of a high permeability strip, water channeling phenomenon has become increasingly evident, causing the whole well in severe flooding, resulting in a large number of the remaining oil can not berecovery, water flooding efficiency is greatly reduced. Oilfield practice shows that the profile control with good water control role of stabilizing oil is an effective means to improve the efficiency of water flooding. In recent years, the development of decision-making technology profile control, profile control design has been further optimized to play an important role in enhancing the effect of oilfield block profile.This paper designs a set of whole block profile decision-making system. The main function of the decision-making system preferred profile control wells and profile control the destination layer, select the appropriate profile control agent system to calculate and optimize the amount of profile modification, and optimize the construction process parameters. At the same time, the system should be simple, convenient and fast to provide a complete set of program reports.The thesis is completed the following tasks:1. Decision-making module, combining PI and RE decision techniques, the establishment of decision-making indicators of reservoir geological data and the single well data, the parameters of injection wells absorbent capacity, the dynamic parameters of reservoir heterogeneity parameters and the corresponding surrounding wells, and through multi-level fuzzy comprehensive evaluation, the establishment of a well selection model, the relative water absorption percentage of the cutaway well layers in the profile control wells were selected based on fuzzy comprehensive evaluation method, the establishment of a layer selection decisions.2. Considering the formation porosity, relative permeability, well water content, oil-water viscosity ratio calculation model and profile control radius, profile control agent in the formation of leaf distribution law, the establishment of the diamond, can be approximated to solve the profile control chemicals quantity.3. Program optimization using the method of BP neural network. The network through learning over three hundred oil sample data, more reliable, non-linear model to predict the different profile control the amount of incremental oil, and the combination of economic efficiency evaluation module, it is recommended to optimize program. System into the numerical simulation of black oil model, BP neural network has been optimized program, forecast profile control within the validity period of oil production and oil production, with water flooding contrast, incremental oil predictions, the results further verify the reliability of the BP neural network, and swap profile provides further adjust and optimize.4. Use the system Huabei Oilfield Xiliu10fault block on the10-23X,10-33and10-46three injection wells to make decisions, and make a comparative analysis of site construction effects, the results show that the prediction model is scientific and reliable.Thesis is on the basis of the previous research of profile decision, and also proposed some new methods, such as oil wells associated with the degree of decision-making module, refers to the diamond calculation model to strike the amount of profile modification, result prediction module by adding the value of the black oilsimulation techniques, and improve decision-making system, profile control and make the system more comprehensive and reliable.