Carbonate Reservoirs, Geothermal Resources and Well Logging
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "H: Geo-Energy".
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 5764
Special Issue Editors
Interests: petrophysics; well logging; rock modeling; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: well logging; formation evaluation; petrophysics; near surface geophysics
Interests: geophysics; petrophysics; laboratory measurements; well logging; rock physics; machine learning; statistics
Special Issue Information
Dear Colleagues,
The title of the Special Issue combines the subjects, which together, may turn out to be an efficient and effective tool in the prospection and recognition of new hydrocarbon and water resources.
Carbonates are reservoirs which host more than 50% of the world hydrocarbon reserves and produce almost twice the amount of hydrocarbons than sandstone reservoirs. They are also considered important water reservoirs (drinking and geothermal). Carbonates, with their specific porosity combined with fracturing, require a special approach in the prospection and determination of petrophysical properties and production of hydrocarbons and waters. Their pore space includes vugs (pores larger than grains), intergranular (between grains) and intragranular or cellular (within grains) porosity, and moldic and chalky porosity. An important part of the total porosity of carbonates are fractures, fissures, and cracks of different origins. The specific porosity influences permeability and makes the carbonate reservoir properties difficult to determine.
Well logging belongs to the group of geophysical methods which are carried out in boreholes and provide detailed information on the petrophysical parameters of rocks. There is a great variety of logs/methods due to their different physical bases. Well logging methods and their outcomes are in the middle between laboratory experiments and their point results at the micro scale on one side, and the surface, for instance, seismic projects with 3D cubes of parameters at the macro scale on the other. Working with data at the mezzo scale, well log analysts and petrophysicists closely cooperate with seismic specialists to scale and calibrate information by combining the data. Well logging is still developing, and new methods or sophistically improved older ones are applied to enhance the prospecting results. Now, they can also be applied with success to geothermal problems. There is also a huge amount of archive data which can be included in the reinterpretation. It is a great challenge to skillfully use these data together to save money and the environment and to avoid planning new wells any more than necessary.
Geothermal resources are important, natural components in the energy mix that are necessary to meet the needs of modern industry and everyday lives of people. In their acquisition, methods that have been developed and improved for hydrocarbon prospection over a hundred years may be utilized. Old solutions may be an inspiration for new ones.
In this Special Issue, we would like to present papers dealing with current problems related to measurements, processing, and interpretation of well logs used in various projects for the prospection of hydrocarbons in carbonates and for geothermal reservoirs. We invite authors specializing in technological novelties and those who would like to show statistical methodologies for processing big data sets and using old data together with the newest results for reinterpretation. Well logging should be seen in all its variety as a useful tool for carbonate reservoirs for hydrocarbon and geothermal waters.
Prof. Dr. Jadwiga A. Jarzyna
Dr. Bogdan Mihai Niculescu
Dr. Edyta Puskarczyk
Guest Editors
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Keywords
- results of well logging interpretation/reinterpretation in various projects, interesting case studies for carbonate reservoirs of hydrocarbons and waters
- construction of digital models of carbonate rocks on the base of petrophysical parameters from well logs and laboratory measurements
- using well logging (wireline, MWD, LWD, Production Logs, etc.) for prospection, completion, exploitation, and monitoring of geothermal reservoirs
- calibrating and scaling problems: from laboratory geodata to field measurements
- novelty in data mining with machine learning and artificial intelligence in determining porosity and permeability of carbonate reservoirs.
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