Mikhail A. Monzherin
|
LLC Gazpromneft Science & Technology Centre |
Saint-Petersburg, Russian Federation Monzherin.MA@gazpromneft-ntc.ru |
Rustam N. Asmandiyarov
|
LLC Gazpromneft Science & Technology Centre |
Saint-Petersburg, Russian Federation Asmandiyarov.RN@gazpromneft-ntc.ru |
Shamil Kh. Sultanov
|
FGBOU VO “Ufa State Petroleum Technological University”, Ufa, Russian Federation, Institute of strategic researches of the Republic of Bashkortostan, Center of oil and gas technologies and new materials |
Ufa, Russian Federation ssultanov@mail.ru |
Rufina K. Sabirdzhonova
|
FGBOU VO “Ufa State Petroleum Technological University” |
Ufa, Russian Federation |
This article presents the results of the analysis formed the base data of the filtration-capacitive properties (FCP) of carbonate reservoirs.Collected indicators of FCP defined on the whole complex of methods: laboratory studies ofcore samples, well logging, hydrodynamic well survey, lifetime data.Proposed assessment field classification of carbonate reservoirs, which allows to evaluate the predominant type of permeability that provides a flow. The purpose of the proposed valuation and commercial classification is to complement existing classifications, which are based on genetic assessment and genetic criteria, qualitative and quantitative indicators of the type of the void space, the intervals of variation coefficients of the open, effective porosity and absolute permeability are defined primarily by core and well logging.
Materials and methods
The database formed on the basis of the analysis of a wide range of open published sources. The analyzed database includes information for 220 ofcarbonate productive formations 98 of the deposits. In the deposits of the Volga-Ural (VU PNC) and Timan-Pechora (TP OGP) oil and gas provinces of Eastern Siberia of the Russian Federation, other regions of the world.
Results
Created updated database of reservoir properties of carbonate reservoirs, which can be used to find analogues for key FCP.On the basis of the analysis of the database proposed assessment and field classification of carbonate reservoirs.
Сonclusions
For improved characterization of reservoir properties and search of dependences between parameters of an object it is recommended to the whole set of studies on the same wells.The optimal set of research methods: a set of standard and special well-survey methods, direct methods, and laboratory core studies need to build on the results of the construction of the first prospecting and exploration wells, giving an indication of the identified typesof capacitive space. According to the results to determine the need for 3D seismic work tosupport the development, design shooting plan based on the projected type of capacitive space and features of genesis object counterparts.
reservoir
permeability coefficient
research
core
well logging