Prognosis of leaching zones distribution in carbonate reservoirs
The proposed method of predicting spatial distribution of leaching zones in carbonate reservoirs includes integrated interpretation of well logging data, including electrical microimages (Formation MicroImager – FMI), together with analysis of lithofacies within depositional cycles. Based on the com...
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| Format: | Article |
| Language: | English |
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Georesursy Ltd.
2022-12-01
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| Series: | Georesursy |
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| Online Access: | https://geors.ru/archive/article/1195/ |
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| author | Alexei A. Tchistiakov Kseniia O. Zudina Aigul R. Davletshina Elizaveta V. Shvalyuk Vitaly E. Baranov |
| author_facet | Alexei A. Tchistiakov Kseniia O. Zudina Aigul R. Davletshina Elizaveta V. Shvalyuk Vitaly E. Baranov |
| author_sort | Alexei A. Tchistiakov |
| collection | DOAJ |
| description | The proposed method of predicting spatial distribution of leaching zones in carbonate reservoirs includes integrated interpretation of well logging data, including electrical microimages (Formation MicroImager – FMI), together with analysis of lithofacies within depositional cycles. Based on the comparison of FMI data with results of lithological and petrophysical studies of the core, an atlas of diagenetic porosity images for the studied formation was developed. Choquette and Pray international classification was used for pore typing. Applying the developed atlas to FMI logs, karstification zones were identified and classified in reference wells. In wells, where only standard well loggings was performed, karstification zones were identified using a developed decision tree. Sedimentological and sequence stratigraphic analysis made it possible to identify sedimentation cycles and to correlate the main lithofacies within the target reservoir. It was established that microbial and shallow facies form the most productive part of the reservoir. These facies with initially high primary porosity were subjected to the most intensive karstification along sequence stratigraphic boundaries due to subaerial exposure. The established relationships between leaching zones, lithofacies, and sequence-stratigraphic boundaries made it possible to carry out inter-well correlation of karstified intervals. The correlation will allow construction of leaching zones maps, that will be further applied for geological modeling. |
| first_indexed | 2024-04-11T04:53:52Z |
| format | Article |
| id | doaj.art-f4a416e55acb45f3bb7204370b7ddcba |
| institution | Directory Open Access Journal |
| issn | 1608-5043 1608-5078 |
| language | English |
| last_indexed | 2024-04-11T04:53:52Z |
| publishDate | 2022-12-01 |
| publisher | Georesursy Ltd. |
| record_format | Article |
| series | Georesursy |
| spelling | doaj.art-f4a416e55acb45f3bb7204370b7ddcba2022-12-26T19:57:18ZengGeoresursy Ltd.Georesursy1608-50431608-50782022-12-0124411712510.18599/grs.2022.4.10Prognosis of leaching zones distribution in carbonate reservoirs Alexei A. Tchistiakov0Kseniia O. Zudina1Aigul R. Davletshina2Elizaveta V. Shvalyuk3Vitaly E. Baranov4Skolkovo Institute of Science and TechnologySkolkovo Institute of Science and TechnologySkolkovo Institute of Science and TechnologySkolkovo Institute of Science and TechnologyScientific and Technical Center VNIIneftThe proposed method of predicting spatial distribution of leaching zones in carbonate reservoirs includes integrated interpretation of well logging data, including electrical microimages (Formation MicroImager – FMI), together with analysis of lithofacies within depositional cycles. Based on the comparison of FMI data with results of lithological and petrophysical studies of the core, an atlas of diagenetic porosity images for the studied formation was developed. Choquette and Pray international classification was used for pore typing. Applying the developed atlas to FMI logs, karstification zones were identified and classified in reference wells. In wells, where only standard well loggings was performed, karstification zones were identified using a developed decision tree. Sedimentological and sequence stratigraphic analysis made it possible to identify sedimentation cycles and to correlate the main lithofacies within the target reservoir. It was established that microbial and shallow facies form the most productive part of the reservoir. These facies with initially high primary porosity were subjected to the most intensive karstification along sequence stratigraphic boundaries due to subaerial exposure. The established relationships between leaching zones, lithofacies, and sequence-stratigraphic boundaries made it possible to carry out inter-well correlation of karstified intervals. The correlation will allow construction of leaching zones maps, that will be further applied for geological modeling.https://geors.ru/archive/article/1195/carbonate reservoirdiagenesissecondary porosityleaching zoneskarstificationwell loggingfmidecision tree |
| spellingShingle | Alexei A. Tchistiakov Kseniia O. Zudina Aigul R. Davletshina Elizaveta V. Shvalyuk Vitaly E. Baranov Prognosis of leaching zones distribution in carbonate reservoirs Georesursy carbonate reservoir diagenesis secondary porosity leaching zones karstification well logging fmi decision tree |
| title | Prognosis of leaching zones distribution in carbonate reservoirs |
| title_full | Prognosis of leaching zones distribution in carbonate reservoirs |
| title_fullStr | Prognosis of leaching zones distribution in carbonate reservoirs |
| title_full_unstemmed | Prognosis of leaching zones distribution in carbonate reservoirs |
| title_short | Prognosis of leaching zones distribution in carbonate reservoirs |
| title_sort | prognosis of leaching zones distribution in carbonate reservoirs |
| topic | carbonate reservoir diagenesis secondary porosity leaching zones karstification well logging fmi decision tree |
| url | https://geors.ru/archive/article/1195/ |
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