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Record W2061521396 · doi:10.2118/157467-ms

Improved Health, Safety and Environmental Profile of a New Field Proven Stimulation Fluid

2012· article· en· W2061521396 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSPE Russian Oil and Gas Exploration and Production Technical Conference and Exhibition · 2012
Typearticle
Languageen
FieldEngineering
TopicOil and Gas Production Techniques
Canadian institutionsAkzoNobel (Canada)
FundersAkzoNobel
KeywordsCorrosionEnvironmental scienceBiochemical engineeringMaterials scienceEngineeringMetallurgy

Abstract

fetched live from OpenAlex

Abstract Acidizing treatments can help significantly improve the productivity of a well. Safe handling of commonly used corrosive acids, however, is a significant challenge to properly manage during the execution of the treatments. The additives, such as corrosion inhibitors, iron control agents, etc., typically used to mitigate the corrosive impact of acids and other un-wanted reactions during the treatments adds to the complexity of safe handling, while further aggravating the environmental impact of the overall treatment. Higher dosages of additives that are needed at higher treatment temperatures and pressures further compound the challenge. With the industry needs trending to high temperatures & pressures, and stricter health, safety & environmental (HSE) considerations, an alternative stimulation fluid that is suited for all the challenging conditions and be globally applicable with an acceptable environmental profile would be ideal. Recent studies and field applications with a new stimulation fluid based on glutamic acid diacetic acid (GLDA) has shown that GLDA can improve permeability in carbonate and sandstone formations even at tough field conditions and can maintain the integrity of wells made of various tubular metallurgies. In the present paper the health, safety and environmental profile of GLDA is reviewed and compared against conventional stimulation fluids such as hydrochloric acid, acetic acid, hydrofluoric, etc., along with the commonly used additives. GLDA is to a large extent based on a natural amino acid made from sustainable resources. It is biodegradable in both fresh and seawater. GLDA has a very favorable eco-tox profile and very low toxicity levels. In contrast to other stimulation fluids and frequently used additives, GLDA does not have any hazard classification and therefore requires no adverse safety labeling. GLDA can be handled easily and safely in the field with just standard chemical handling precautions in place. Overall, GLDA is a safe, environmentally friendly and effective stimulation solution that can help improve productivity of a well with the least possible well integrity or HSE concerns.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.954
Threshold uncertainty score0.549

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.240
Teacher spread0.220 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it