RECOVERY OF ABSOLUTE PERMEABILITY OF HYDROCARBON DEPOSITS WITH SECONDARY POROSITY–PERMEABILITY PROPERTIES USING WAVELET TRANSFORMS
Author(s) -
Orlov A.A.,
Russkikh A.S.
Publication year - 2020
Publication title -
vestnik tomskogo gosudarstvennogo universiteta matematika i mekhanika
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.246
H-Index - 5
eISSN - 2311-2255
pISSN - 1998-8621
DOI - 10.17223/19988621/68/10
Subject(s) - porosity , permeability (electromagnetism) , wavelet , geology , wavelet transform , amplitude , mineralogy , petroleum engineering , geotechnical engineering , computer science , chemistry , biochemistry , artificial intelligence , membrane , physics , quantum mechanics
Due to depletion of hydrocarbon reserves in “traditional” porous reservoirs, it becomes necessary to study and evaluate the prospects for the development of reservoirs with secondary porosity–permeability properties (SPP). Permeability in reservoirs with SPP is described in a hydrodynamic simulator using a dualenvironment model represented as a set of porous blocks (matrix) separated by a system. One of the most important hydrodynamic model (HDM) parameters is the absolute reservoir permeability coefficient. However, recovery of the latter for reservoirs with SPP by standard methods is impossible. The purpose of this research is to restore a cube of the absolute permeability of a hydrocarbon reservoir with SPP using the wavelet transform method which accounts for the structure, to reproduce well dynamics in the HDM, and to analyze the applicability of the obtained maps when predicting distribution of productive zones. Wavelet-decomposition maps give a detailed description of the structural surface amplitude corresponding to the geological representation: the most productive zones are those with structural failures such as bending or dome. The downhole historical matching for bottom-hole pressure measurements and the dynamics of the work implemented using the wavelet transform method are performed in accordance with regulation requirements, which allow one to use a hydrodynamic model in the calculation of predictive options.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom