Integrated Risk Analysis for Scale Management in Deepwater Developments
Bibliographic record
Abstract
Summary Owing to the increased cost of scale management in subsea developments, compared with platform or onshore fields, and because of the more-limited opportunities for interventions, it is becoming increasingly important to carry out a risk-analysis process for scale management as early as possible in the field-development plan. This process involves identifying the potential scale risks and analyzing and comparing the options available for managing those risks. This paper discusses how this risk-analysis process should be carried out, with a strong emphasis on the need to integrate all the available production-chemistry and reservoir-engineering data. To demonstrate this process, an example is used from a development complex that lies in water depths greater than 400 m (greater than 1,300 ft) offshore west Africa. The process involves the following steps: Analysis of available brine samples to identify maximum scaling potential. Laboratory testing of available scale inhibitors to identify chemistry best suited to this system. Study of analog fields to identify scaling risks in these fields, and how these risks have been managed, with implications for fields currently being studied. Modification of full-field reservoir-simulation model to predict seawater breakthrough and duration of seawater production to identify when and for how long the wells would require to be treated to control scale and how much inhibitor would be needed. This process involves using flow profiles derived from the reservoir-simulation model and applying them in a near-well squeeze simulator to predict treatment performance in terms of time taken for return concentrations to decrease to the minimum inhibitor concentration determined by laboratory studies. Well-by-well analysis of predicted seawater-production profiles and total-water production rates to identify the potential for correct placement of inhibitor by bullhead treatments in zones at risk of scale deposition. Modification of reservoir model to study the impact of in-situ scale deposition on brine chemistry at the production wells and the revision of requirements for inhibitor squeeze treatments. Economic analysis of options available for scale management comparing sulfate reduction to inhibitor squeezing on the basis of the treatment specifications identified above. The result of this process in the reservoirs in question, which have a moderate-to-severe scaling tendency, has been to demonstrate that inhibitor placement by bullheading would result in satisfactory placement for all wells. If the assumption is made that no scale deposition takes place in the reservoir, then sulfate reduction becomes a viable option, owing to the requirement of regular treatments and relatively high chemical concentrations. However, taking into account cation losses, owing to scale deposition deep within the reservoir, the requirements for chemical treatments reduce and squeezing becomes the preferred option. From the simulation models, differences between the reservoirs concerned, in terms of the contribution aquifer waters make to scale control, were identified with some wells at much higher risk than others owing to the volumes of potentially scaling brines that are expected to be produced. This paper clearly demonstrates that a cross-discipline approach using reservoir engineering, production chemistry, and completion engineering can lead to a more-complete assessment of the scale risk and the correct economic selection of the control program.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 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".