Survey of the simulation methods of the gas-condensate wells with multi-stage fracturing to the Achimov deposits

The method and results of the feasibility study of the development technology of the complex gas-condensate Achimov deposits of the Severo-Purovskoe gas-condensate field are presented in the paper. The deposits have low reservoir properties (porosity and permeability), lateral heterogeneity and abnormal formation pressure. The gas and condensate recovery rates estimated values achieved as per the previous Design Projects such as directional wells with fracturing and horizontalwells made 0.5 and 0.25 relative units, correspondingly, thus the additional surveys required to be delivered. The proposed method of the feasibility study of the Achimov deposits development technologyis based on the simulation experiments with the analytical and digital porous-flow models. A combination of the modelsallows receiving more feasible technical and technological development parameters.
Materials and methods
Simulation experiments with the analytical and digital porous-flow models for evaluation of production capacities of wells of various constructions are made on the basis of study of the geological structure of the Achimov reservoirs.
Results
The results of surveys and feasibility of various constructions of gas producing wells for the Achimov deposits characterized by the complex geology are provided. Efficiency of drilling of horizontal well with multi-stage fracturing is proved to be efficient for the development system.
Сonclusions
Benchmarking of various solutions for theAchimov deposits development found higher efficiency of the sub-horizontal well with multi-stage-fracturing (K productivity more than 1.5 times).Simulation experiments with the analytical and digital porous-flow models for evaluation of the process indicators ofthe sub-horizontal well with multi-stage fracturing allowed receiving a more detailed data on influence of the technical and technological parameters and geological and physical parameters on the productivity i.e. a comprehensive calculation ensures data complementarity and objectivity of the decisions.