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Record W2026430757 · doi:10.2118/2004-173

Recent Successes: Green Technology for H2S Elimination and Increased Oil Recovery

2004· article· en· W2026430757 on OpenAlexaboutno aff
K. McLenehan, Michael Aaron Dennis, D.O. Hitzman

Bibliographic record

VenueCanadian International Petroleum Conference · 2004
Typearticle
Languageen
FieldEngineering
TopicIndustrial Gas Emission Control
Canadian institutionsnot available
Fundersnot available
KeywordsComputer sciencePetroleum engineeringEnvironmental scienceEngineering

Abstract

fetched live from OpenAlex

Abstract Contemporary investigations of biotechnology designed for oil and gas aqueous production systems began in earnest in the early 1980's. Since then, numerous research and field programs have examined the reliability of the concepts, processes, and technical efficacy of such systems. The Bio-Competitive Exclusion (BCX) technology has successfully demonstrated through field projects, partially funded by the U. S. Department of Energy, significant tertiary oil recovery and total control of sulfide (H2S) contaminated systems. This fully developed technology presents a new understanding of reservoir ecology and the establishment of indigenous reservoir and produced water microorganisms. Beneficial alteration and control of the in situ methods and products to deliberately manipulate microflora community is possible through the use of low cost nitrate-based formulae that function as alternate electron acceptors and microbial nutrient for targeted denitrifying bacteria (DNB). The environmentally safe inorganic salt formulae complement the naturally occurring water-soluble volatile fatty acids (VFA) in the reservoir and produced waters, and selectively stimulate and increase the DNB populations. The proliferation of metabolic activity of DNB denies SRB essential VFA needed for reduction of sulfate to sulfide, thus effectively terminating H2S production. Nitrate reduction by DNB concurrently produces gases, solvents, and surfactant metabolic bio-products at the pore level that have known and demonstrable oil recovery properties. Increased oil recovery and H2S elimination field data from California and Canada are presented. Introduction The LATA Group, Inc., a subsidiary of Geo-Microbial Technologies, Inc. (GMT), is a privately owned geomicrobial and geochemical business and research organization headquartered in the Tulsa, Oklahoma U.S.A. area. LATA's specialized expertise covers the microflora of aqueous systems, focusing primarily on the role of microorganisms in the petroleum and environmental industries, and the development and marketing of innovative and green biotechnologies that serve the global oil and gas industry. The LATA-GMT scientists have over 100 years of combined experience in biological research and development relating to oil and gas producing systems. Their work has resulted in biological processes and products that destroy and prevent biogenic hydrogen sulfide (H2S) in reservoirs, wells, and produced water systems, as well as a powerful and low cost tertiary oil recovery method. Successful field demonstrations of the Bio- Competitive Exclusion (BCX) technology and environmentally friendly Max-Well 2000 products have led to commercial implementation in Canada, the United States, and elsewhere. P. K. Services International, Calgary, is the Canadian representative for the BCX technology. Defining the Sulfide Problem The occurrence of poisonous and corrosive hydrogen sulfide (also referred to as H2S and sulfide) in aqueous systems is a major problem for many industries. The National Association of Corrosion Engineers estimates the total cost of corrosion at nearly 300 billion dollars per year worldwide. Biogenic sulfide is especially acute in the international oil and gas industry, and constitutes a serious environmental and economic dilemma, causing production and revenue loss, increased microbial influenced corrosion (MIC) and related costs, and is a serious health and environmental hazard. As the source of biogenic sulfide production, certain indigenous bacteria-sulfate reducing bacteria (SRB)-have received enormousattention and study for man

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 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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.919
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.015
GPT teacher head0.223
Teacher spread0.208 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2004
Admission routes1
Has abstractyes

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