Methodology of information support of studies and works on different-scale forecasting oil and gas fields

The generalized statement of theoretical principles of information support of R&D on forecasting and development of oil and gas fields of various geological and genetic types corresponding to modern challenges of objective factors of growth of technical complexity and geological prospecting, exploration and operational works cost is presented. The main working tool is a targeted multi-scale information modeling of promising geological objects, based on the general theoretical scheme of forecast-paleoreconstructive retrospective-static model with the introduction of the concept of formation-material system of oil and gas accumulation, which includes three cognitive-functional components: initial source, transportation and objects of hydrocarbons localization. This methodological apparatus provides solutions to the main forecasting and diagnostic tasks: development of localization criteria, forecasting of traps and assessment of the potential of their hydrocarbons realization. The proposed apparatus is multi-scale, i.e. one that provides forecasting at the zonal (group of deposits), local (deposits) and sublocal (productive beds) levels. Prospects for further development of the direction are to develop a modern holistic theory of geoinformatic modeling and its subject methodological and methodological section – frame organization of the geological environment of oil and gas specialization in order to innovatively increase the efficiency of hydrocarbon field development. The examples of updated target information modeling of promising geological objects, basing upon methodological approach of infogeology with introducing of geological environment frame organization principles are demonstrated. As an object of modeling the regional formational complex of Tournaisian-Visean oil-gas horizon of the Dniprovsko-Donetska depression is considered. The solution of tasks, connected with this problem, comprises: the revision of initial data for innovative presenting of geoinformation modeling; defining of selected geological objects frame organization (structure); development of different scale promising geological objects frames and their transformation into geoinformatic format; preparing of recommendations for promising geological objects of different scales (zonal, local, sublocal) basing upon pertinent geoinformatic models. The expected result of this methodology introducing is to obtain innovative technology of information supervision for R&D aimed at efficient development of oil and gas fields.