MétaCan
Menu
Back to cohort
Record W4240797479 · doi:10.2523/75687-ms

On the Characterization of Carbonate Reservoirs Using Low Field NMR Tools

2002· article· en· W4240797479 on OpenAlex
A. Mai, A. Kantzas

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

VenueProceedings of SPE Gas Technology Symposium · 2002
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNMR spectroscopy and applications
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCarbonateCitationComputer scienceCharacterization (materials science)Library scienceGeologyMaterials scienceNanotechnology

Abstract

fetched live from OpenAlex

On the Characterization of Carbonate Reservoirs Using Low Field NMR Tools A. Mai; A. Mai University of Calgary and TIPM Laboratory Search for other works by this author on: This Site Google Scholar A. Kantzas A. Kantzas University of Calgary and TIPM Laboratory Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Gas Technology Symposium, Calgary, Alberta, Canada, April 2002. Paper Number: SPE-75687-MS https://doi.org/10.2118/75687-MS Published: April 30 2002 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Mai, A., and A. Kantzas. "On the Characterization of Carbonate Reservoirs Using Low Field NMR Tools." Paper presented at the SPE Gas Technology Symposium, Calgary, Alberta, Canada, April 2002. doi: https://doi.org/10.2118/75687-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu nav search search input Search input auto suggest search filter All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Unconventional Resources Conference / Gas Technology Symposium Search Advanced Search AbstractAlberta contains significant deposits of oil and gas in carbonate formations. Carbonates tend to have fairly tight matrix structures, resulting in low primary porosity and permeability. As a result, laboratory characterization of carbonate properties is a slow and tedious process. Low field NMR is an emerging technology shows great promise in rock characterization. In a single NMR experiment, rock properties like porosity, permeability and Swi can in theory be measured.Experiments were performed on approximately 80 core plugs from six carbonate formations. Porosity measurements were performed through gas expansion and brine saturation (Archimedes' principle). Air permeabilities were also measured. Cores were also saturated with brine and spun to irreducible water saturation. NMR measurements were taken at both saturation stages (Sw = 1.0 and Sw = Swi). NMR data were interpreted using the conventional core analysis results as guides. Observations were made regarding NMR trends and corresponding rock properties.Preliminary analysis of the data shows that NMR can successfully predict the content and distribution of the fluids in the porous media. Also, the NMR spectra of carbonate samples seem to suggest that NMR can be used as a tool for classifying cores into different pore systems.Using T2cutoff values as a tool, the cores can be divided into groups. Group 1 has T2cutoff< 80 ms, while group 2 has T2cutoff in the range of 80 to 200 ms and group 3 has T2cutoff values > 200 ms. Group 1 cores generally have higher porosity values than groups 2 and 3. Group 1 also has low values of T2gm, compared to the other two groups. Air permeability was compared to the geometric means and T2gm cutoff values of the three groups and some general trends were observed, but more analysis is required before these trends can be quantified.IntroductionReservoir rocks can be divided into two groups: clastics and carbonates. Clastics include silts, sands and gravels, while carbonates encompass limestones and dolomites. Both of these two groups have intergranular porosity, which is the pore space between sand grains or carbonate crystals originally deposited1. However, carbonates also have vugular porosity, formed by the leaching of carbonate grains or other soluble materials.Vugs are usually defined as pores that are larger than adjacent grains. The presence of vugs in carbonate reservoirs is very common. However, conventional wireline logs cannot always detect such pores due to the limited vertical resolution of the tools2. Unfortunately, vugs have a significant effect on productivity, porosity and permeability. Along with vugs, another problem with carbonate rocks is that their porosity is very difficult to determine. This is due to the fact that the rock matrix or specifically the amount of limestone and dolomite varies, making it difficult to analyze using conventional logs3,4. In complex carbonates estimations from logs are deemed unreliable and it is normally required to calibrate logs against core analysis. However, core analysis is a time consuming and costly process, therefore it is not always practical.Nuclear Magnetic Resonance (NMR) is a new and promising technology that is fast, nondestructive and able to yield a vast amount of information about the reservoir formation5. In theory, a single NMR measurement can be used to determine porosity, permeability and irreducible water saturation. However, most of the earlier work on NMR usually assumes a simple formation lithology (such as sandstone) or simply ignores the effect of rocks on NMR interpretation and data analysis. Thus the methods originally developed might not be able to correctly predict the properties of complex systems such as carbonates 6,7.This paper investigates porosity and irreducible water saturation of carbonate samples from many fields in Western Canada through the analysis of T2cutoff values. Keywords: nmr, well logging, amplitude, carbonate reservoir, pore, permeability, group 1, nmr response, upstream oil & gas, characterization Subjects: Formation Evaluation & Management, Open hole/cased hole log analysis This content is only available via PDF. 2002. Society of Petroleum Engineers 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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.260
Threshold uncertainty score0.374

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 head0.013
GPT teacher head0.258
Teacher spread0.245 · 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