Application of General Material Balance on Gas Condensate Reservoirs GIIP Estimation

2010 ◽  
Author(s):  
Fahd Siddiqui ◽  
Ghulam M. Waqas ◽  
M. Noman Khan
Keyword(s):  
Material Balance ◽  
Gas Condensate ◽  
Gas Condensate Reservoirs ◽  
General Material

scholarly journals wells of gas and gas condensate reservoirs in the South-Eastern part of the Bukhara-Khiva region and methods for increasing their productivity

2021 ◽  
Vol 4 (1) ◽  
pp. 37-42
Author(s):  
Khayitov Odiljon Gafurovich
Keyword(s):  
Material Balance ◽  
Gas Condensate ◽  
The South ◽  
Reliable Determination ◽  
Gas Condensate Reservoirs ◽  
South Eastern ◽  
Specific Description ◽  
Material Balance Method ◽  
Volume Method

The article examines the methods of increasing the productivity of wells of gas and gas condensate reservoirs in the south-eastern part of the Bukhara-Khiva region (BHR). The role of gas calculation methods in determining the gas reserve of Mesopotamia in sveza with an increase in the share of gas reserves from 1 to 10 million tons of conventional fuel is shown. Certain difficulties have been identified in the issue of reliable determination of gas reserves in the limited fund of wells and large ranges of changes in calculated parameters. The determining significance of the value of gas reserves in calculating the forecast indicators of the development and technologies of their extraction is justified. It is established that increasing the degree of reliability of calculating gas reserves ensures the efficiency of its extraction, as well as the rational use of material and technical resources and financial capabilities of the enterprise. The advantages of such methods for determining gas reserves as the volume method, the material balance method, and static models are disclosed. A specific description of each of these methods and their application for calculating gas reserves at the Northern Guzar field is given.

Theoretical and Methodological Features for Gas-condensate PVT Fluid Modelling with Limited Data

2021 ◽  
Author(s):  
Oleksandr Burachok ◽  
Dmytro Pershyn ◽  
Oleksandr Kondrat ◽  
Serhii Matkivskyi ◽  
Yefim Bikman
Keyword(s):  
Laboratory Experiments ◽  
Fluid Model ◽  
Material Balance ◽  
Gas Condensate ◽  
Donets Basin ◽  
Fluid Composition ◽  
Saturation Curve ◽  
Gas Condensate Reservoirs ◽  
Liquid Saturation ◽  
Cell Simulation

Abstract Majority of gas-condensate reservoir discoveries in Dnieper-Donets Basin (Ukraine), is characterized by limited composition only up to C5+, phase behavior studied by non-equilibrium, so called differential condensation PVT experiment, combined with the uncertainty in condensate production allocation to individual wells, makes the direct application of the results in modern PVT modeling software not possible. The new method, based on the Engler distillation test (ASTM86) for definition of pseudo-components combined with synthetic creation of liquid saturation curve for CVD experiment, was proposed and successfully applied for different gas-condensate reservoirs in the area of study. The quality control (QC) of the PVT model is further performed by applying material-balance method on a single-cell simulation model for exported black-oil PVT formulation when needed. The method proved being useful for modeling of multiple gas-condensate reservoirs of Dnieper-Donets Basin with different potential condensate yields varying from 30 to 700 g/m3 and as an example presented for two reservoir fluids with 108 and 536 g/m3. Results of numerical simulation studies were within the engineering accuracy in comparison to historically observed values. The investigation showed that a representative fluid model can be create in the cases when no detailed fluid composition or required laboratory experiments are available. PVT model can be efficiently validated and QC-ed by performing material-balance type numeric simulation constructed with one cell. However, the proper fluid sampling and PVT cell laboratory experiments are still major requirements for precise reservoir fluid characterization and equation of state (EOS) modeling.

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