Development of GIS subsystems for gravity monitoring data analysis of the subsoil conditions for oil and gas fields

Summary Purpose. Various negative processes occur due to the long-term development of hydrocarbon deposits on an oil and gas fields. For the Republic of Kazakhstan the task of forecasting such processes is important for further assessment of the negative consequences. The automated systems has been widely used as a tool for solving geophysical problems in an oil and gas fields. Among them the special place took the geographic information systems (GIS). This paper describes the subsystems implementation for a new GeoM geographic information system, which is created on the basis of gravity data monitoring within the one of the selected oil and gas fields. Design/Methodology/Approach. Before that study, the preliminary stages of development for the created GIS of GeoM are conditionally defined. Tese are the preparatory, the computational, the optimizing and the integration ones. Currently, the system has developed and tested a subsystem for processing the primary data of gravity data monitoring and the graphing of its results and also a subsystem for solving of the gravity direct problem by the fitting procedure. The GIS system database is implemented using an open PostgreSQL relational database. The raw geodata are stored in a PostGis environment. The applied interfaces for the system operation are clearly demonstrated. Findings. One of the newly developed GIS subsystem is the framework for the solution of the gravity direct problem with the help of the simulating annealing techniques. The main advantages of using of the simulated annealing method are summarized, as they are the fast data processing, applicability for use in the modern systems of parallel computing, and also the processing of large amounts of measured data. A schematic diagram of the common numerical algorithm of the simulating annealing technique is presented in the work. The applicability of this technique is qualitatively justified for the searching of the gravity o ptimal solutions in the created GIS. Practical value/implications. The development of GIS subsystems made it possible to improve significantly the quality and speed of the gravity data processing. The calculation subsystem allow to solve the garvity direct problem by fitting with the help of the unique procedure of simulating annealing.