Scientific and technical journal

«Geology, geophysics and development of oil and gas fields»

ISSN 2413-5011

Geology, geophysics and development of oil and gas fields
№ 9 (369), September 2022
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OIL AND GAS PROSPECTING
Forecast of transition and accumulation zones of fragmental material on the example of the Tyumen formation
Konnov V.N.
5-14
Influence of facies heterogeneity on the productivity of the upper jurassic deposits of the Povkhovskoye field
Popov S.S., Kerimov A.-G.H.
15-23
Geological structure and criteria for identifying promising objects of the Lower Cretaceous of the Bolshekhetskaya depression
Karimova N.A., Ovchinnikova N.L., Vingalov V.M., Chernyaeva N.K., Makarov D.V.
24-30
GEOLOGICAL MODELING
Development of probabilistic-statistical models for predicting the oil potential of the Yu2 formation
Shadrin A.O.
31-40
Review of the applied approaches to hydrodynamic modeling of low-permeable reservoirs
Vershinina I.V., Vinogradov K.E., Gilmanova N.V., Kovalenko M.A., Shalamova V.I.
41-47
GEOPHYSICAL RESEARCH WORK
Application of machine learning methods for well logging data interpretation
Gulin A.B., Kerimov A.-G.H.
48-54
DEVELOPMENT OF OIL AND GAS FIELDS
Planning and support of horizontal wells’ drilling in conditions of geological and tectonic uncertainties in the Lyaelskaya area of the Yaregskoye field
Ershova O.V., Terentiev S.E.
55-62
Possibility of application of measures to treat the bottomhole zone of high water wells
Fudashkina M.V.
63-68
Evaluation of temperature effect on displacement coefficient and permeability of high-viscous oil carbonate reservoirs by the results of laboratory studies
Lesina N.V., Osadchaya N.S., Popov E.Yu., Slavkina O.V.
69-75
Development of recommendations to reduce oil production losses due to the interference between wells according to field experiment data
Sevonkaeva K.S., Kultysheva S.N., Karmanov A.Yu.
76-81
An approach to hydrodynamic modeling of the organic matter transformation process of the Upper Jurassic formation in the Western Siberia under the influence of hydrocarbon solvents and temperature (based on the results of laboratory experiments on core). Part 3. Substantiation of the model of chemical transformations and carrying out predictive hydrodynamic calculations on the sector model
Nikolaeva T.N., Mett D.A. , Nemova V.D.
82-89
Application of machine learning methods to forecast the oil and gas potential of the local structures of the Bashkir dome in the Perm region
Yuzhakov A.L.
90-93
Criteria of the main methods applicability of high-viscous oils and natural bitumen extraction
Nikolaeva S.N., Lesina N.V.
94-102