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Record W4235832584 · doi:10.2523/65457-ms

Single-well Sonic Imaging: High-Definition Reservoir Cross-sections from Horizontal Wells

2000· article· en· W4235832584 on OpenAlexaboutno aff
R. Coates, M. Kane, C. Chang, C. Esmersoy, M. Fukuhara, H. Yamamoto

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsCitationDownloadGeologyLibrary scienceComputer scienceInformation retrievalWorld Wide Web

Abstract

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Single-well Sonic Imaging: High-Definition Reservoir Cross-sections from Horizontal Wells R. Coates; R. Coates Schlumberger-Doll Research Search for other works by this author on: This Site Google Scholar M. Kane; M. Kane Schlumberger-Doll Research Search for other works by this author on: This Site Google Scholar C. Chang; C. Chang Schlumberger-Doll Research Search for other works by this author on: This Site Google Scholar C. Esmersoy; C. Esmersoy Schlumberger Oilfield Services-SPC Search for other works by this author on: This Site Google Scholar M. Fukuhara; M. Fukuhara Schlumberger-K.K Search for other works by this author on: This Site Google Scholar H. Yamamoto H. Yamamoto Schlumberger-K.K Search for other works by this author on: This Site Google Scholar Paper presented at the SPE/CIM International Conference on Horizontal Well Technology, Calgary, Alberta, Canada, November 2000. Paper Number: SPE-65457-MS https://doi.org/10.2118/65457-MS Published: November 06 2000 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Coates, R., Kane, M., Chang, C., Esmersoy, C., Fukuhara, M., and H. Yamamoto. "Single-well Sonic Imaging: High-Definition Reservoir Cross-sections from Horizontal Wells." Paper presented at the SPE/CIM International Conference on Horizontal Well Technology, Calgary, Alberta, Canada, November 2000. doi: https://doi.org/10.2118/65457-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search nav search search input Search input auto suggest search filter All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE/CIM International Conference on Horizontal Well Technology Search Advanced Search AbstractThe limited resolution of conventional seismic surveys often results in challenges to successful reservoir development. Reservoir structure and thickness may not be determined from the seismic to the level of detail necessary, affecting the placement of the horizontal well. We describe a new sonic imaging technique that resolves these features. In addition the position of the well in relation to the reservoir perimeter can be determined with great accuracy.Single-well sonic imaging places the acoustic transmitter and receivers in the same well, analogous to recording a micro-scale seismic reflection survey downhole. Using modified sonic logging technology, sound is broadcast into the formation and reflections are converted into a two- or three- dimensional spatial image of the zone around the borehole. Acoustic reflectors such as the top of the reservoir, calcite stringers, or fractures are mapped at distances of 10–15 meters from the well with resolution on the order of one-half meter. We show several examples of surveys conducted in horizontal wells to illustrate applications of the technique.IntroductionThe traditional paradigm for development of a hydrocarbon reservoir consists of drilling a large number of near vertical wells, each entering the reservoir through the cap-rock and extending through the reservoir into the formation below. This provides an excellent measure of the reservoir thickness, fluid contact horizons and petrophysical properties of the formation at each of the well locations.Logs are acquired in each well during the discovery, appraisal and early development phases. The resulting composite data set consists of measurements collected along vertical lines at many locations within the reservoir. Although each log provides extremely high-resolution information along the borehole, depth of investigation is typically only a few borehole radii. Characterization of the rest of the reservoir requires extrapolation or interpolation between wells using simple geometrical assumptions about the geology, combined with seismic or geostatistical methods as a guide.This approach results in a steady increase in information about the reservoir, and a decrease in risk, during the early stages of the reservoir's life. A further consequence of this paradigm is that logging tools, inversion algorithms, and interpretation techniques were developed to fit the model of measurements recorded in vertical wells.However, the increasing use of horizontal and highly deviated wells and the trend towards drilling them earlier in the development process has introduced a new set of challenges for traditional measurements and interpretation. For example, there are fewer horizontal wells per reservoir. Each horizontal well samples only a limited vertical region of the reservoir, perhaps just a few feet below the cap-rock, as compared to the full vertical cross-section typical in the conventional well. The inversion and interpretation of logs also becomes more complex - for example a variation in the gamma ray log may be due to either a local change in shaliness or to the well trajectory straying closer to the shale cap-rock.Added to these reservoir delineation challenges are issues associated with the construction of horizontal wells themselves. Often the reservoir is below the resolution of the seismic cross-section, yet the optimum positioning of the well requires its placement at a specific location within the reservoir. Steering the well and verifying its position relative to geological markers in order to optimize completion and production requires new analysis techniques for horizontal well construction. Keywords: borehole, compressional headwave, esmersoy, application, reservoir, fracture, reservoir characterization, upstream oil & gas, resolution, headwave Subjects: Reservoir Characterization, Seismic processing and interpretation This content is only available via PDF. 2000. SPE/PS-CIM International Conference on Horizontal Well Technology 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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.005

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 head0.011
GPT teacher head0.195
Teacher spread0.184 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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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Citations2
Published2000
Admission routes1
Has abstractyes

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