Distribution patterns of oil and gas deposits within the Apsheron archipelago

Buryakovskiy, L. A.

doi:10.1080/00206817409471799

Cited by 10 publications

(3 citation statements)

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“…Azerbaijan (Buryakovsky 1974). On the Caspian Sea, the producing horizons occur at great depths; abnormally high pore pressures are widespread; and the difficulty of drilling, coring, and completing of geophysical studies does not allow access to the reliable data for evaluation of reservoir rock properties, especially at early exploration stages.…”

Section: Simulation and Prediction Of Physical And Reservoir Propertimentioning

confidence: 98%

Scientific Bases, Methods, and Results of Mathematical Simulation and Prediction of Structure and Behavior of Petroleum Geology Systems

Buryakovsky¹

1992

Energy Sources

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R e systems approach to geology is both a sophisticated ideology and a scientific method for investigation of very complicated geological systems. As applied to petroleum geology, it includes the methodological base and technology of mathematical simulation used for modeling geological systems: the systems that have been previously investigated and estimated by experimental data and/or field studies. Because geological systems develop in rime, it is very important to simulate them as dynamic systems. The main tasks in the systems approach to petroleum geology are the numerical simulation of physical and reservoir properties of rocks, pore (geofhid) pressure in reservoir beds, and hydrocarbon resources. R e results of numerical simulation are used for prediction of geological system structure and behavior in borh studied and noninvestigated areas.

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Section: Simulation and Prediction Of Physical And Reservoir Propertimentioning

confidence: 98%

Scientific Bases, Methods, and Results of Mathematical Simulation and Prediction of Structure and Behavior of Petroleum Geology Systems

Buryakovsky¹

1992

Energy Sources

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“…The LAM Bank and Zhdanov Bank structures (located in the Turkmenistan sector of the basin) are about 6-7 km long and 2 km wide each. The structures are intensely faulted by major longitudinal and minor transversal faults (Buryakovsky, 1974(Buryakovsky, , 1985(Buryakovsky, , 1993Buryakovsky et al, 2001).…”

Section: Modeling Of Log-to-core Relationshipsmentioning

confidence: 99%

“…Classification of the Middle Pliocene rocks within the South Caspian Basin is summarized in Table 1. Detailed information on geologic setting, stratigraphy and lithology of the area under study is provided in the following publications: Buryakovsky (1974Buryakovsky ( , 1985Buryakovsky ( , 1993 and Buryakovsky et al (1982Buryakovsky et al ( , 1990Buryakovsky et al ( , 2001. …”

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confidence: 99%

Petrophysical Simulation in Petroleum Geology and Reservoir Engineering

Buryakovsky¹,

Chilingar²

2005

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The simulation of multivariate petrophysical relationships between core and well-log derived parameters on the example of the South Caspian Basin is discussed. For developing the petrophysical relationships, a number of deterministic and stochastic calculating procedures are used by the authors. These relationships are widely used in petroleum geology and reservoir engineering for hydrocarbon reserves estimation, reservoir description and simulation, field development planning, and reservoir production management.Petrophysical relationships or petrophysical models are used to describe actual correlation existing among various core-derived parameters (core-to-core correlation) and to improve reliability and accuracy of wireline log analysis and interpretation on the basis of correlation between log and core petrophysical parameters (log-to-core correlation). Petrophysical relationships are widely used in petroleum geology and reservoir engineering for hydrocarbon reserves estimation, reservoir description and simulation, field development planning, and reservoir production management.Because of the multitude of variables involved in petrophysical relations, the most effective methodology of petrophysical simulation is statistical analysis. Very important is the description of regional distribution of such pertophysical properties as porosity and permeability, and their changes with depth of burial. The standard practice used to study regional distribution of any core-derived parameter is a construction of maps with contour lines or zonal maps, which are defined as two-dimensional images or models of a given reservoir feature. To study the distribution of petrophysical parameters over the entire field, the 3D statistical analysis is implemented.Methodology of computation of relationships among petrophysical and other geological parameters is described in many publications (e.

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2012

Petrophysics

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Distribution patterns of oil and gas deposits within the Apsheron archipelago

Cited by 10 publications

References 0 publications

Scientific Bases, Methods, and Results of Mathematical Simulation and Prediction of Structure and Behavior of Petroleum Geology Systems

Scientific Bases, Methods, and Results of Mathematical Simulation and Prediction of Structure and Behavior of Petroleum Geology Systems

Petrophysical Simulation in Petroleum Geology and Reservoir Engineering

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