Controlling Synthetic-Based Drilling Fluid Discharges Through the Best Management Practices Compliance Alternative
Bibliographic record
Abstract
Controlling Synthetic-Based Drilling Fluid Discharges Through the Best Management Practices Compliance Alternative Carey Johnston; Carey Johnston EPA Search for other works by this author on: This Site Google Scholar Scott Wilson; Scott Wilson EPA Region 6 Search for other works by this author on: This Site Google Scholar Kent Satterlee; Kent Satterlee Shell E&P Co. Search for other works by this author on: This Site Google Scholar Eric van Oort; Eric van Oort Shell E&P Co. Search for other works by this author on: This Site Google Scholar Darlene Venable; Darlene Venable Shell E&P Co. Search for other works by this author on: This Site Google Scholar Stephen Rabke; Stephen Rabke M-I L.L.C. Search for other works by this author on: This Site Google Scholar Scott Talbot Scott Talbot M-I L.L.C. Search for other works by this author on: This Site Google Scholar Paper presented at the SPE International Conference on Health, Safety, and Environment in Oil and Gas Exploration and Production, Calgary, Alberta, Canada, March 2004. Paper Number: SPE-86701-MS https://doi.org/10.2118/86701-MS Published: March 29 2004 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Johnston, Carey, Wilson, Scott, Satterlee, Kent, van Oort, Eric, Venable, Darlene, Rabke, Stephen, and Scott Talbot. "Controlling Synthetic-Based Drilling Fluid Discharges Through the Best Management Practices Compliance Alternative." Paper presented at the SPE International Conference on Health, Safety, and Environment in Oil and Gas Exploration and Production, Calgary, Alberta, Canada, March 2004. doi: https://doi.org/10.2118/86701-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu nav search search input Search input auto suggest search filter All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE International Conference and Exhibition on Health, Safety, Environment, and Sustainability Search Advanced Search AbstractThe U.S Environmental Protection Agency (EPA) recently published effluent guidelines on the appropriate use of synthetic-based drilling fluids (SBFs). These regulations control what types of SBFs are allowed for discharge and how much SBF can be retained on the cuttings directly discharged to surface waters. In order to provide operators with greater flexibility in complying with the new controls on SBF cuttings, EPA promoted an alternative compliance option based on the use of Best Management Practices (BMPs).This paper provides an overview of the SBF BMP compliance alternative, its use among operators, and elements of an effective BMP Plan. This paper focuses on implementation aspects and identifies potential benefits for operators using the BMP compliance alternative. In addition, this paper presents a comparison of SBF discharges associated with cuttings for SBF wells that did and did not use this compliance alternative. Monitoring data indicate that discharges from SBF wells using the compliance alternative are lower than the discharges from SBF wells that did not use the compliance alternative. Finally, this paper examines the degree to which operators are on a cycle of continuous improvement and expanding beyond this compliance alternative on a voluntary basis to examine other areas for pollution prevention and reduction of pollutant discharges.IntroductionThe U.S Environmental Protection Agency (EPA) recently published technology-based regulations which support the use and development of synthetic-based drilling fluids (SBFs) as a pollution prevention technology (January 22, 2001; 66 FR 6850).1 Rabke et al2 outlines the expedited steps EPA used to develop these new technology-based controls and the close cooperation between EPA and industry stakeholders during the rulemaking process. EPA incorporated these new SBF limitations and standards into the Western Gulf of Mexico (GOM) National Pollutant Discharge Elimination System (NPDES) permit which regulates most offshore oil and gas extraction activities (December 18, 2001; 66 FR 65209) and became effective on February 16, 2002.3EPA identified a number of pollution prevention benefits of using approved SBFs in place of traditional water-based drilling fluids and oil-based drilling fluids including potential lower air emissions and pollutant discharges to surface waters. The technology-based controls in these regulations also promote pollution prevention by encouraging more efficient solids control technology to increase recycling of SBF in the drilling operation. Increased SBF recycling reduces the quantity of SBF required for drilling operations and the quantity of SBF discharged with drill cuttings.EPA used a two-part approach to control SBF-cuttings discharges. The first part is the control of which SBFs are allowed for discharge through use of stock limitations (e.g., sediment toxicity, biodegradation, PAH content, metals content) and discharge limitations (e.g., diesel oil prohibition, formation oil prohibition, sediment toxicity, aqueous toxicity).4 The second part is the control of the quantity of SBF discharged with SBF-cuttings. EPA identified that the retention limit is a very important control because it controls:the amount of SBF discharged to the ocean;the biodegradation rate of discharged SBF; andthe potential for SBF-cuttings to develop cuttings piles and mats, which are detrimental to the benthic environment.EPA allowed operators two choices to demonstrate compliance with the SBF retention on cuttings (ROC) limitation. Operators may choose to either comply with:a single numeric discharge limitation with cuttings monitoring on the entire SBF well interval; ora set of best management practices (BMPs) developed by the operator, with reduced cuttings monitoring.EPA identified that BMPs require performance-based measures in order to maximize their effectiveness. In comments on the rulemaking, industry also stated that BMPs would be extremely effective at reducing the quantity of non-cuttings related SBF and would focus operator attention on reducing these discharges.5 Keywords: prevention, drilling fluids and materials, us government, compliance alternative, epa, sbf well, operator, sbf well interval, sbf roc, limitation Subjects: Drilling Fluids and Materials, Drilling fluid selection and formulation (chemistry, properties) This content is only available via PDF. 2004. Not subject to copyright. 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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 | 0.001 |
| 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 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".