Managing Offshore Megaprojects: Success is an Option
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The success or failure of any offshore oil and gas development project is dependent on effective integration of intelligent processes, deep-seated technical expertise, multiple company and agency interactions and relationships, solid management and vigorous leadership. This is especially true for deepwater oil and gas developments where the costs are high, the schedules are critical, the technologies used are broad-based and deep, and there is heavy involvement of engaged stakeholders. Recent papers and books, with solid support in data and statistics, have shown that less than one-quarter of the international offshore oil and gas development projects have achieved "success" in any meaningful sense of that word. Furthermore, in a few cases, those that do are the beneficiaries of changed economic circumstances that override the real deficiencies. Based on many years of project experience, involving both success and failure, this paper deals with the many elements that create the environment where success is probable and failure is NOT inevitable.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it