Well logging is the primary way of acquiring information about an oil field throughout its lifecycle, from estimation of reserves to development planning, drilling and operation. Without well logging, there is no way to prove geologists’ assumptions of oil presence and reservoir prospectivity, or to make the best decisions during infrastructure construction and development operations.
Gazpromneft STC provides planning, support, interpretation and analysis of data acquired in the course of geophysical well logging (GWL), production well logging (PWL) and и hydrodynamic well logging (HWL) operations at all the producing assets of Gazprom Neft. These include over six thousand operations per year. GWL helps identify producing intervals in a formation and determine their oil saturation at well completion stage, PWL – determine influx performance and evaluate well conditions at well operation stage, and HWL – evaluate reservoir properties, confirm geological boundaries of the formation and prove efficiency of well interventions.
STC pursues to mainstream new technologies at all stages of well logging operations, from experiment design to post-processing of data interpretation results. New equipment and measurement instruments are being tested all the time. Logging data interpretation algorithms are being constantly developed for low-permeable reservoirs.
Machine learning algorithms allowing for computerized verification of logging data quality and interpretation of results have been integrated into the family of geological and field data analysis software. Selection of optimal logging objectives and design (from the standpoint of total economic impact) is now possible thanks to the built-in tools that function in reliance on the Value of Information technique.