Results of implementation and approbation of well interference methods using field data based on several approach for well interference analysis have been discussed. The software RN-GDIS contains implemented prototypes of software modules including a capacitance-resistance model injector-producer pair based representation (CRMIP) and a multivariate linear regression method (MLR). Field data is required as input data for the software modules. Further, in order to quantify the well interference, the optimization problem is solved and the interaction coefficients are calculated. Coefficients obtained from implemented methods are converted into a single response space. The calculated answers are generalized in a summary table. Using this summary table the decision about the presence or absence of interaction between wells is made. The accuracy of the decision depends on the results of combining field and calculated data.
The developed models were approbated on synthetic data obtained using reservoir simulation model in corporate hydrodynamic simulation tool
RN-KIM. Data preprocessing is conducted before field data analysis. It includes algorithms for initial data reduction to a unifying time array, taking into account the discreteness of measurements and the data type. The CRMIP and MLR methods displayed satisfactory convergence with the results of reservoir simulation, and a good agreement was obtained between the results of field data well interference analysis and the expert assessments of well test specialists.
The results of well interference can be used for setting up reservoir simulation models, interpreting well test taking into account the surrounding wells, it will improve the efficiency of well operation management and reduce the risks of gas, oil and water shows during side-tracking of wells.
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