Bibliographic record
Abstract
Technology Focus In last year’s Offshore Facilities Technology Focus (February 2012), we highlighted the increasingly important role that constructive collaboration plays in facilitating delivery of successful field-development outcomes in increasingly challenging environments. In this edition, we illustrate the vital importance of innovative technological advances in enabling some of these challenging field developments that would otherwise not be technically feasible. Operators have generally tended to shy away from the upsides available by embracing new technology for fear of incurring downsides from suboptimal performance of the technology. This has inevitably slowed down the whole cycle of investment in, and adoption of, commercially advantageous technology to the ultimate detriment of the industry as a whole. It also certainly has tarnished our industry’s attractiveness to bright young engineers of the future. An interesting shift, however, has been evident in recent years. There have been a growing number of instances whereby operators have been unable to implement potentially lucrative field developments without adopting technology that they would hitherto have deemed to be inadequately proven by others. In the overwhelming majority of such cases, where the desire to implement the field development has overridden the reluctance to adopt the necessary new technology, the outcomes have been successful. A couple of key characteristics underpin these successes. One of those is constructive collaboration, which we have already touched on. The other is ensuring that both the nature and the dimensions of the associated technology-implementation challenges are properly understood and that the efforts established to overcome the challenges are realistically resourced to achieve success. Very few operators are large enough to have the necessary specialist resources available in house for planning and executing such projects with demonstrable confidence that success will be delivered. However, those resources are still readily available to any operator for any desired duration if the appetite is there to enter into a collaborative venture for achieving the available upsides. I hope you enjoy the opportunity to read how one operator is taking advantage of multiple recent technological advancements to complement an innovative commercial approach in transforming a hitherto unviable discovery into a fully viable field development. We also take a look at some other ongoing technological advances that have the potential to change the way we will do business in years ahead. Please let me also take this opportunity to remind interested readers of the new sister SPE publication Oil and Gas Facilities, in which many more aspects of offshore facilities are explained and discussed. Your feedback on how you would like to see that publication evolve would be very much welcomed. Recommended additional reading at OnePetro: www.onepetro.org. OTC 23365 Autonomous Inspection Vehicle, A New Dimension in Life of Field Operations by James Jamieson, Subsea 7, et al.
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 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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".