Factor Analysis of Well Logs for Total Organic Carbon Estimation in Unconventional Reservoirs
Several approaches have been applied for the evaluation of formation organic content. For further developments in the interpretation of organic richness, this research proposes a multivariate statistical method for exploring the interdependencies between the well logs and model parameters. A factor...
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| Format: | Article |
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MDPI AG
2021-09-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/18/5978 |
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| author | Norbert P. Szabó Rafael Valadez-Vergara Sabuhi Tapdigli Aja Ugochukwu István Szabó Mihály Dobróka |
| author_facet | Norbert P. Szabó Rafael Valadez-Vergara Sabuhi Tapdigli Aja Ugochukwu István Szabó Mihály Dobróka |
| author_sort | Norbert P. Szabó |
| collection | DOAJ |
| description | Several approaches have been applied for the evaluation of formation organic content. For further developments in the interpretation of organic richness, this research proposes a multivariate statistical method for exploring the interdependencies between the well logs and model parameters. A factor analysis-based approach is presented for the quantitative determination of total organic content of shale formations. Uncorrelated factors are extracted from well logging data using Jöreskog’s algorithm, and then the factor logs are correlated with estimated petrophysical properties. Whereas the first factor holds information on the amount of shaliness, the second is identified as an organic factor. The estimation method is applied both to synthetic and real datasets from different reservoir types and geologic basins, i.e., Derecske Trough in East Hungary (tight gas); Kingak formation in North Slope Alaska, United States of America (shale gas); and shale source rock formations in the Norwegian continental shelf. The estimated total organic content logs are verified by core data and/or results from other indirect estimation methods such as interval inversion, artificial neural networks and cluster analysis. The presented statistical method used for the interpretation of wireline logs offers an effective tool for the evaluation of organic matter content in unconventional reservoirs. |
| first_indexed | 2024-03-10T07:42:38Z |
| format | Article |
| id | doaj.art-78c3c42e5c154d23bda301a071da6489 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T07:42:38Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-78c3c42e5c154d23bda301a071da64892023-11-22T12:55:59ZengMDPI AGEnergies1996-10732021-09-011418597810.3390/en14185978Factor Analysis of Well Logs for Total Organic Carbon Estimation in Unconventional ReservoirsNorbert P. Szabó0Rafael Valadez-Vergara1Sabuhi Tapdigli2Aja Ugochukwu3István Szabó4Mihály Dobróka5Department of Geophysics, University of Miskolc, H-3515 Miskolc, HungaryDepartment of Geophysics, University of Miskolc, H-3515 Miskolc, HungaryDepartment of Geophysics, University of Miskolc, H-3515 Miskolc, HungaryDepartment of Geophysics, University of Miskolc, H-3515 Miskolc, HungaryMOL Plc., Group E&P Subsurface and Field Development, H-5000 Szolnok, HungaryDepartment of Geophysics, University of Miskolc, H-3515 Miskolc, HungarySeveral approaches have been applied for the evaluation of formation organic content. For further developments in the interpretation of organic richness, this research proposes a multivariate statistical method for exploring the interdependencies between the well logs and model parameters. A factor analysis-based approach is presented for the quantitative determination of total organic content of shale formations. Uncorrelated factors are extracted from well logging data using Jöreskog’s algorithm, and then the factor logs are correlated with estimated petrophysical properties. Whereas the first factor holds information on the amount of shaliness, the second is identified as an organic factor. The estimation method is applied both to synthetic and real datasets from different reservoir types and geologic basins, i.e., Derecske Trough in East Hungary (tight gas); Kingak formation in North Slope Alaska, United States of America (shale gas); and shale source rock formations in the Norwegian continental shelf. The estimated total organic content logs are verified by core data and/or results from other indirect estimation methods such as interval inversion, artificial neural networks and cluster analysis. The presented statistical method used for the interpretation of wireline logs offers an effective tool for the evaluation of organic matter content in unconventional reservoirs.https://www.mdpi.com/1996-1073/14/18/5978total organic carbon (TOC)tight gasshale gassource rockfactor analysis (FA)interval inversion |
| spellingShingle | Norbert P. Szabó Rafael Valadez-Vergara Sabuhi Tapdigli Aja Ugochukwu István Szabó Mihály Dobróka Factor Analysis of Well Logs for Total Organic Carbon Estimation in Unconventional Reservoirs Energies total organic carbon (TOC) tight gas shale gas source rock factor analysis (FA) interval inversion |
| title | Factor Analysis of Well Logs for Total Organic Carbon Estimation in Unconventional Reservoirs |
| title_full | Factor Analysis of Well Logs for Total Organic Carbon Estimation in Unconventional Reservoirs |
| title_fullStr | Factor Analysis of Well Logs for Total Organic Carbon Estimation in Unconventional Reservoirs |
| title_full_unstemmed | Factor Analysis of Well Logs for Total Organic Carbon Estimation in Unconventional Reservoirs |
| title_short | Factor Analysis of Well Logs for Total Organic Carbon Estimation in Unconventional Reservoirs |
| title_sort | factor analysis of well logs for total organic carbon estimation in unconventional reservoirs |
| topic | total organic carbon (TOC) tight gas shale gas source rock factor analysis (FA) interval inversion |
| url | https://www.mdpi.com/1996-1073/14/18/5978 |
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