The aim of the study is to determine the volume of distribution parameters and petrophysical properties of rocks in the unconventional hydrocarbon fields are based 3D-modeling. Used Methodology is related to the analysis of geological and technological parameters and conduct three-dimensional modeling. At the initial stage analyzed the main characteristics of geological and industrial promising horizons of Jevgenivs’ka areas such as: TOC (total organic carbon), vitrinite reflectance (Ro), porosity and maturity bedrock; calculated litostatic, hydrostatic pressure, heat flow and temperature conditions for each hole. The next step is to conduct a
3D-modeling and correlation to establish relevant parameters for the entire volume of rocks. Intervals of promising horizons are established in Moscow, Bashkir, Serpukhov and Visean tiers of Carbon system.Tthis article is defined and systematized petrophysical properties, lithology data set types of unconventional hydrocarbons – gas tight sandstone and shale gas. Scientific novelty is a comprehensive modeling parameters, allowing for more precise quantitative assessment of such unconventional hydrocarbon resources compared to traditional methods of assessment. The main practical significance is the possibility of using this approach in evaluating unconventional hydrocarbon resources such as Ukraine, given that traditional methods use averages space and power efficient, the application of 3D-modeling, volumetric parameters rocks with greater accuracy, and the distribution of petrophysical parameters on each occurs point volume. The results of the assessments and 3D-modeling Jevgenivs’ka areas are calculated area of distribution and efficient power of potential deposits. Accurate volumetric parameters defined intervals perspective horizons. A preliminary quantitative assessment resource is conducted. Established that the area is characterized Jevgenivs’ke field sufficient for effective capacity development indicators collectors maturity bedrock and relevant for these types of deposits porosity values.
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