Regional Surveys

To provide reserves replacement and extension and to increase the oil production rate, Gazprom Neft is constantly looking for new promising regions for business development both in Russia and abroad. Gazpromneft STC conducts integrated assessment of various petroleum regions to identify the most promising areas for further licensing and development.

Regional Surveys

STC extends and improves its competencies in basin modeling with intent to develop regional models of petroleum basins. Basin modeling is essentially a simulation of processes that describe deposition and changing of geological layers, as well as hydrocarbons generation-accumulation time and space prediction. Creating a regional model means processing large volumes of related data. It helps significantly increase the amount of useful information extracted from such data and quickly upgrade evaluation of the study area when new data are received. It is a major technological domain at the confluence of geology, physics, chemistry and mathematics that helps address the challenges of Gazprom Neft’s strategic development for many years to come.

Regional modeling requires taking into account a wide variety of aspects, because even for models of basins with simple structure, negligence of detail may be crucial for the result. The most difficult and labor intensive task is modeling of basins with complex structure, which have many more of these aspects. There are still no all-in-one tools for this type of challenges. That’s why the development of petroleum systems models for basins with complex structure became one of the priorities of Gazprom Neft’s Technological Strategy adopted in 2014. A task like this becomes significantly important especially now, when basins with simple structure are well explored and mature, and success of oil companies depends on efficient development of basins with complex structure.

Having developed more than ten models for various petroleum regions in Russia and abroad, Gazprom Neft decided to separate basin modeling as aone of the STC’s research domains in 2015 and formulated a development strategy for this research area.