Tezislər / Theses

ON METHODS FOR HYDROCARBON RESOURCE EVALUATION 
IN SEDIMENTARY BASINS 
Israfil Asgarov 
SOCAR, OilGasScientificResearchProject Institute 
Baku, Azerbaijan 
[e-mail] 
Supervisor: Associate professor Mushfig Tagiyev 
Keywords:
sedimentary basins, evaluation methods, basin modeling 
Before oil and gas exploration in sedimentary basins assessment of 
hydrocarbon resources is considered as necessary. The hydrocarbon 
resources evaluation methods has come a long way from simple to complex. 
The less studied is a basin, the higher is uncertainty in the parameters used 

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THE 3
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 INTERNATIONAL SCIENTIFIC CONFERENCES OF STUDENTS AND YOUNG RESEARCHERS 
dedicated to the 99
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in calculations. The methods used in oil and gas resources evaluation can 
be divided into three main categories: (1) traditional forecasting methods; (2) 
statistical methods; (3) estimation based on basin modeling (Chart). 
Traditional methods of hydrocarbon resources forecast embrace a wide 
range of methods. Method of geological analogies, volumetric-balance 
method, volumetric-genetic method, volumetric-statistical forecasting 
methods are major representatives of them [1]. 
The approach proposed by American specialists (1960) is based on the 
Monte Carlo and probability methods. Forecasting of Southern Louisiana's 
gas resources was one of the first studies in this area. Their approach 
consisted of three components: 1) forecasting the future growth of reserves 
in existing fields; 2) expected efficiency of prospecting operations in 
sedimentary complexes partially (or incompletely) covered by drilling; 3) 
geological analysis of undrilled sedimentary complexes [2]. 
The first two techniques were relevant to areas where deposits had 
already been discovered and had a long exploration history. 
The USA Geological Survey was among the organizations that 
pioneered using basin modeling tools to assess hydrocarbon resources. 
Via modelling a number of processes are simulated: (1) changes in 
temperature during the burial history; (2) thermal maturity of the source rocks; 
(3) transformation ratio of organic matter to the hydrocarbon; (4) oil window 
onset and peak generation; 5) residual potential of hydrocarbon forming 
strata. 
The complete 1-D modeling package also includes various kinetic 
algorithms for hydrocarbon generation and PVT calculations of pore fluids. 
The activation energies representing the organic matter thermal decomposition 
properties obtained from special laboratory studies can also be input into the 
modeling scheme. 

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