Well Logging Applications
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "H: Geo-Energy".
Deadline for manuscript submissions: closed (17 August 2021) | Viewed by 38445
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Special Issue Editors
Interests: petrophysics; well logging; rock modeling; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Well logging belongs to the group of geophysical methods which are carried out in boreholes and provide detailed information on 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 in micro scale in one side and surface of parameters, for instance, seismic projects with 3D cubes, in macro scale on the other. Working with data in mezzo scale, well log analysts and petrophysicists closely cooperate with seismic, geoelectric, magnetotelluric, and other specialists to scale and calibrate information and combine data. Well logging has been around since the 1920s and has been developed for almost 100 years in terms of measurement techniques, processing procedures, and interpretation systems. Today, we have at our disposal sophisticated devices generating data of amazing resolution in situ, in real time, from difficult rock formations. 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 not plan more new wells than necessary. In this Special Issue, we invite papers dealing with current problems of measurements, processing, and interpretation of well logs used in various projects in prospection for conventional and unconventional hydrocarbons (shale gas and oil, tight gas), table and geothermal water, and logs in mining to recognize methane resources in coal seams and different raw materials. We specifically invite authors specializing in technological novelties in well logging (solutions for vertical and horizontal wells) and those who would like to present the results of modeling, show statistical methodologies for processing big data sets, and use old data and the newest results together for reinterpretation.
This Special Issue calls for theoretical and empirical papers focusing on the following topics:
- Results of well logging interpretation in various projects, interesting case studies;
- Well logging in the construction of digital models of rocks;
- Results of modeling to improve the inverse problem solution in well logging;
- Novelty in devices, measurement methods, and interpretation methodologies;
- Calibrating and scaling problems using well logging for other geophysical methods;
- Well logging data mining using machine learning and artificial intelligence.
Prof. Dr. Jadwiga A. Jarzyna
Dr. Paulina Krakowska-Madejska
Guest Editors
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Keywords
- Results of well logging interpretation in various projects, interesting case studies
- Well logging in the construction of digital models of rocks
- Results of modeling to improve the inverse problem solution in well logging
- Novelty in devices, measurement methods, and interpretation methodologies
- Calibrating and scaling problems using well logging for other geophysical methods
- Well logging data mining using machine learning and artificial intelligence
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