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Record W3096983889 · doi:10.11575/prism/37958

Effect of Temperature on Two-phase Oil/Water Relative Permeability under SAGD Conditions

2020· dissertation· en· W3096983889 on OpenAlexaboutno aff
Sajjad Esmaeili

Bibliographic record

VenueOpen MIND · 2020
Typedissertation
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsRelative permeabilityPetroleum engineeringPermeability (electromagnetism)Environmental scienceGeologyGeotechnical engineeringMaterials scienceChemistryPorosity

Abstract

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The successful implementation of any thermal recovery process in heavy oil reservoirs for the enhanced oil recovery requires some indispensable information related to the multi-phase fluid flow characteristics under high-temperature and high-pressure conditions. The relative permeability is an essential element which is required to model the flow performance within porous media. The two- and three-phase relative permeability affect the fluid flow velocity as well as the pressure gradient profile and saturation profile within the oil reservoir during the water flooding or steam and gas flooding. In order to predict the flow performance in thermal recovery processes, in which the temperature changes with position and time, the change of two- and three-phase relative permeability with temperature should be considered. Although numerous researchers have previously studied the variation of relative permeability with temperature since mid-fifties, this issue is still unresolved and remains challenging. Moreover, many contradictory results associated with the temperature’s impact on relative permeability reported in the literature and the relative scarcity of available data points for heavy oil and bitumen systems under thermal recovery conditions make this issue very critical for a reliable analysis. The aim of this research was to comprehensively investigate the effect of temperature on two-phase oil/water relative permeability in different rock-fluid systems, especially for Athabasca bitumen. In this regard, a reliable rig was developed to include the necessary elements to measure the steady- and unsteady-state relative permeability of two-phase systems in unconsolidated sand more accurately. This study was carried out in four phases. As per our objectives, the empirical correlations for two-phase oil/water relative permeability curve characteristics as a function of temperature in different rock-fluid systems were proposed first based on data reported in the literature. In addition, a new data-driven model for two-phase oil/water relative permeability in heavy oil/sand systems was also developed based on the experimentally measured data points. In the second phase, the impact of temperature on two-phase oil/water relative permeabilites was assessed over a wide range of temperatures from 23o to 200 °C in a clean viscous oil/sand system using the unsteady-state approach. In the third phase, the clean viscous oil phase was replaced by an ultra-heavy viscous oil, Athabasca bitumen. In this system, the effect of temperaturet on the two-phase relative permeabilites was evaluated using several core flooding experiments within a temperature range of 70-220 °C under the SAGD pressure (i.e., 2760 kpa). Both steady-state and unsteady-state relative permeability measuring techniques were utilized. In the final phase of this research, a solvent-aided system was employed for the relative permeability measurement at high temperatures to assess the effect of temperature on relative permeability of a diluted Athabasca bitumen/water/sand system in the same temperature range that was used for the unaltered Athabasca bitumen/water systems. Moreover, interfacial tension (IFT) and contact angle measurements were carried out for all systems at different temperatures to evaluate any change in fluid-fluid and rock-fluid interactions with temperature. The history matching of displacement tests was conducted using a reservoir simulator developed in-house. The experimental results revealed that the relative permeability curves in a clean viscous oil/deionized water/sand were practically independent of temperature, even though the viscosity ratio dramatically reduced at higher temperatures. Furthermore, the reduction of IFT to less than one order of magnitude and a small variation in contact angle at higher temperatures were not enough to alter the relative permeability. In contrast to this clean system, the unsteady-state relative permeability to Athabasca bitumen and water was a strong function of the temperature. At higher temperatures, the endpoint relative permeability to water considerably increased as well as the true residual oil saturation decreased significantly. Moreover, the irreducible water saturation slightly increased and endpoint relative permeability to oil also revealed an increasing trend. The steady-state relative permeability curves demonstrated the same behavior as the unsteady-state relative permeability curves at higher temperatures. A reduction in IFT and contact angle (i.e., a shift towards increased water-wetness) were also observed for this system with increasing temperature. The results obtained from several isothermal core flooding experiments using diluted bitumen at different temperatures confirmed that the two-phase relative permeability curves were still temperature-sensitive; however, the effect of temperature on relative permeability was less pronounced in diluted bitumen systems containing 9 wt. % of n-hexane, in comparison with unaltered bitumen systems. Again, a reduction in IFT and contact angle of a smaller level compared to the unaltered bitumen was captured at increased temperatures in this study. Since commercial reservoir simulators often consider the relative permeability curves to be insensitive to temperature, we anticipate that the temperature-dependent relative permeability model developed in this research can assist reservoir simulators to more effectively predict the flow performance in TEOR processes, especially for Canadian bitumen in the future.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.125
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.335
Teacher spread0.323 · 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.

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
Published2020
Admission routes1
Has abstractyes

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