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Record W4231447218 · doi:10.2523/71493-ms

Application of Thermophilic Microbes In Waxy Oil Reservoirs at Elevated Temperature

2001· article· en· W4231447218 on OpenAlexaff
Qingxian Feng, Ni Fangtian

Bibliographic record

VenueProceedings of SPE Annual Technical Conference and Exhibition · 2001
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsPetro-Canada
FundersQingdao UniversityNankai UniversityPetroChina Company Limited
KeywordsThermophilePetroleum engineeringEnvironmental scienceWaste managementGeologyEngineeringBacteria

Abstract

fetched live from OpenAlex

Application of Thermophilic Microbes In Waxy Oil Reservoirs at Elevated Temperature Qingxian Feng; Qingxian Feng Dagang Oilfield Company, PetroChina Ltd. Co. Search for other works by this author on: This Site Google Scholar Jiaxi Zhou; Jiaxi Zhou Dagang Oilfield Company, PetroChina Ltd. Co. Search for other works by this author on: This Site Google Scholar Fangtian Ni; Fangtian Ni Dagang Oilfield Company, PetroChina Ltd. Co. Search for other works by this author on: This Site Google Scholar Zhiyu Chen; Zhiyu Chen Dagang Oilfield Company, PetroChina Ltd. Co. Search for other works by this author on: This Site Google Scholar Rulin Liu Rulin Liu Nankai University Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, September 2001. Paper Number: SPE-71493-MS https://doi.org/10.2118/71493-MS Published: September 30 2001 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Feng, Qingxian, Zhou, Jiaxi, Ni, Fangtian, Chen, Zhiyu, and Rulin Liu. "Application of Thermophilic Microbes In Waxy Oil Reservoirs at Elevated Temperature." Paper presented at the SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, September 2001. doi: https://doi.org/10.2118/71493-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Annual Technical Conference and Exhibition Search Advanced Search AbstractFor the last decade, some specifically selected microbes have been successfully used to improve oil recovery in some waxy or heavy oil reservoirs. The main feature of this new technology is that the applied microbes can degradate heavy oil components to improve oil properties, for example, reduction in oil viscosity or cloud pour point. However, successful application of microbial technology in high temperature reservoirs has been remaining a challenge due to quick disactivate of microbes at elevated temperature. In this work, we present the result of application of self-incubated thermophilic microorganisms that are growing at a reservoir temperature of 73°. This microbes can self-colony and quickly grow up at the reservoir conditions. The analysis of the crude oil on samples before and after treated with microorganisms showed that (1) oil viscosity decreased by 34%, (2) pour point decreased 3?, (3) the weigh of heavy oil components decreased significantly, and (4) the interfacial tension between oil and formation water decreased about 31%. In addition, the pH value of the crude oil samples decreased from 7.3 to 5.5.The results from coreflooding tests showed that the oil recovery could be improved by 6.6%(OOIP) by injection the microbes. We also performed a 'huff and puff' pilot test in a production well that having 91% of water cut before the test. The results showed that after the well was stimulated with the microbes, the oil production rate increased from 20 to 40 barrels per day, and the water cut decreased from 91% to 87.8%. The effect of the stimulation with the microbes continued more than 6 months and the total oil incremental was than 2400 barrels.IntroductionA successful MEOR depends on whether the microorganisms can grow up at the reservoirs conditions such as temperature, pressure and salinity[1]. So, for production, particularly displacement of oil by microbial flooding in hi-temperature reservoirs, the thermophily of the microbes are critical. In order to improve oil mobility and recovery, the selected species shall be able to make a fast accretion and an effective metabolism with use of oil at hi-temp and anoxic environment. Microbial floods were evaluated to be necessary in the Guan 69 block because of a lot water-cut in oil production. Based on the initially applied hi-temp resistance species that takes hydrocarbons as its sole carbon source, another thermophilic candidate was developed to deal with oil in this block. Then a huff and puff test was carried out in both the annulus between tubing and casing and the near wellbore zones. It turned out to make incremental oil.ExperimentalWater and crude oil.The oil for experiment is sampled from a G69-8 well in the Guan 69 block and dehydrated. The water is, which is treated produced-water for reinjection, the injection water for the Block. Their properties are showed in Table1 and 2. The table 1 showed both injection and formation water are close in content.Temperature.All experiments are conducted at the reservoir temperature 73°, except otherwise noticed.Characteristics of microorganisms.It is composed of three microbes, i.e. NG80-1, NG80-2 and NG80-3. The colonies is mainly in radial shape, which is different from normal ones. The cells are 0.4~1.0µm×1.9~6.5µm in size, rod in shape, movable and pritricha. The morphology, culture and physiology, and physical-chemical properties of the microbes are showed in Table 3. The NG 80 is Clostridium and Stearothermophilus [2,3]. They are hermophilic microbes. Keywords: water cut, well zone, application, society of petroleum engineers, spe 71493, oil property, enhanced recovery, experiment, qingxian feng, microbial concentration Subjects: Improved and Enhanced Recovery, Waterflooding This content is only available via PDF. 2001. Society of Petroleum Engineers You can access this article if you purchase or spend a download.

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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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.567

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 communication0.0000.000
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 head0.008
GPT teacher head0.225
Teacher spread0.217 · 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 designBench or experimental
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".

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Citations1
Published2001
Admission routes1
Has abstractyes

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