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Record W4240781597 · doi:10.2523/97783-ms

A New Semiautomatic PVT Apparatus for Characterizing Vapex Systems

2005· article· en· W4240781597 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsSaskatchewan Research Council (Canada)
FundersPetroleum Technology Research Centre
KeywordsCitationLibrary scienceComputer scienceGeorge (robot)Information retrievalEngineeringOperations researchArtificial intelligence

Abstract

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A New Semi-Automatic PVT Apparatus for Characterizing Vapex Systems Norman P. Freitag; Norman P. Freitag Saskatchewan Research Council Search for other works by this author on: This Site Google Scholar Selim George Sayegh; Selim George Sayegh Saskatchewan Research Council Search for other works by this author on: This Site Google Scholar Ray Exelby Ray Exelby Saskatchewan Research Council Search for other works by this author on: This Site Google Scholar Paper presented at the SPE International Thermal Operations and Heavy Oil Symposium, Calgary, Alberta, Canada, November 2005. Paper Number: SPE-97783-MS https://doi.org/10.2118/97783-MS Published: November 01 2005 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Freitag, Norman P., Sayegh, Selim George, and Ray Exelby. "A New Semi-Automatic PVT Apparatus for Characterizing Vapex Systems." Paper presented at the SPE International Thermal Operations and Heavy Oil Symposium, Calgary, Alberta, Canada, November 2005. doi: https://doi.org/10.2118/97783-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 International Thermal Operations and Heavy Oil Symposium Search Advanced Search AbstractKnowledge of fluid properties is critical to the design of Vapex projects and other enhanced oil recovery processes that use solvent vapor extraction, yet very few pertinent data exist in the published literature. This paper describes a new apparatus for the efficient and accurate measurement of the physical and phase behaviour properties of mixtures of heavy oils and solvents such as propane and butane. The apparatus combines advanced capabilities that make it superior to conventional designs: The automated functions improve the speed at which the data are acquired and reduce operator error. Inline density and viscosity measurements add the capability of multi-phase detection. High-pressure filtration permits measurement of asphaltene and wax precipitation at reservoir conditions. Dual gasometers allow accurate measurements of gas solubility over a wide range of solvents and reservoir pressures. Sub-ambient temperature control makes it suitable for Canadian operations.The apparatus was tested against published measurements for the n-hexadecane-carbon dioxide system, and then used to gather a comprehensive suite of data at two isotherms for a Lloydminster heavy oil-propane system. Random scatter in the resulting data was very small. The equipment is well suited to the acquisition of fluid property measurements for both field design and correlation purposes.With the improvements in both the precision of measurements and the speed of operation offered by the new equipment, it was possible to test some assumptions used in measuring vapor-liquid equilibrium in heavy oil-solvent systems. The results suggested that a noticeable uncertainty may be associated with conventional methods used to determine saturation pressures in these systems.IntroductionNumerical reservoir simulation has become an important tool for the screening and design of enhanced oil recovery processes. Processes that involve volatile solvents are dominated by phase equilibrium boundaries and the effects of dissolved solvent on the properties of the oil phase. It is therefore essential that these effects be represented accurately during simulation.Most simulations depend, either directly or indirectly, on a cubic equation of state to provide the input parameters that govern the calculation of solvent solubility, phase boundaries, and phase densities. For heavy oils and bitumens, these properties cannot be predicted accurately. Consequently, the tuning of an equation of state requires laboratory data on the solvent solubility and the associated changes to the oil-phase properties for any specific solvent-oil mixture. Such data are normally acquired with an apparatus designed to measure the pressure-volume-temperature (PVT) relationships of fluid mixtures.For the original Vapex process,[1] the prediction of the production performance from horizontal production wells was based on an explicit formula in which the effects of viscosity and density changes were contained within a single parameter. The values of this parameter were derived from the production performance of laboratory models. As a result, the PVT data needed for the preparation of simulator input were not required and therefore not measured by most earlier investigators, even when the effects of previously untested solvents such as butane were examined.[2] There exist, therefore, only a few data in the literature on the effects of common solvents on the properties of heavy oils and bitumens.Mehrotra and Svrcek[3–7] measured the solubilities of carbon dioxide and ethane (and several lighter gases) in several bitumens, and have provided some measurements on the effects of these solvents on oil density and viscosity. Keywords: solvent concentration, propane concentration, oil sand, solubility data, enhanced recovery, heavy oil, canadian petroleum technology, upstream oil & gas, kpa, higher pressure Subjects: Fluid Characterization, Improved and Enhanced Recovery, Unconventional and Complex Reservoirs, Phase behavior and PVT measurements, Oil sand, oil shale, bitumen This content is only available via PDF. 2005. SPE/PS-CIM/CHOA International Thermal Operations and Heavy Oil Symposium You can access this article if you purchase or spend a download.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.592
Threshold uncertainty score0.531

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 head0.020
GPT teacher head0.271
Teacher spread0.251 · 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