Investigating Cap Rock Efficiency of Laffan Shale Formation in Sirri Oil Fields, Offshore Iran
Bibliographic record
Abstract
This study investigates the sealing efficiency of the Laffan Shale Formation as the caprock of the Sirri oil fields. Available information sources from Laffan Formation include drillhole core samples, daily drilling and geology reports and petrophysical logs of drilled wells. Type and quantity of minerals are determined by direct and indirect methods. In the next step in order to study the distribution of minerals and fabric of the shale samples SEM photomicrographs are taken. Petrophysical characterization by mercury porosimetry and laboratory experiments to measure total organic carbon and cation exchange capacity of samples are the next steps. Pore pressure of Laffan Formation is determined by using data obtained from both acoustic and resistivity logs. Laffan Formation in Sirri oil fields is a shale formation comprising kaolinte clay mineral and calcite and quartz cement. It has a very low permeability. Laffan is a relatively thin and brittle formation but the presence of organic-rich layers and being buried at deeper depth has improved the chance of its lateral continuity and can be classified as a good seal. This study shows that similar results are obtained from direct and indirect methods in determining type of and mineralogy and also indicates that good correlations is achieved when taking into account of permeability and total organic carbon. The next purpose of this paper is to provide a research process that can be applied in similar geological settings. Key Word : Caprock-sealing efficiency; Shale formation; Clay mineral; X-ray diffraction; Scanning electron microscopy; Ductility; Total organic content
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".