Deep Salt Formation Wells Successfully Drilled with Integrated Techniques in Tahe Oilfield
Bibliographic record
Abstract
Abstract The most challenging drilling problems encountered in Tahe Oilfield occurred in the deep salt formations. Most holes lost are caused by stuck drilling strings, stuck casing, and collapsed casing because of the special salt formations. Particular research is conducted to solve these problems. At first, the occurrence arose in salt formations are identified in detail. Then the components of typical salt rocks are analyzed, and properties such as plasticity, solubility, stability, and stress sensibility measured, some new techniques evaluated, and integrated techniques developed. As a result of implementation of the integrated drilling techniques, deep salt formations drilling in Tahe Oilfield has been substantially improved. The main researching results presented in this paper are attached to the discussion of the salt formation problems, laboratory measuring and testing of the salt rock and evaluated techniques, and field drilling application. Integrated techniques recommended are particularized, such as borehole structure, salt water based mud system, expanding drilling and drilling string assemblies optimized.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".