Addressing the Clay/Heavy Oil Interaction When Interpreting Low Field Nuclear Magnetic Resonance Logs
Bibliographic record
Abstract
Addressing the Clay/Heavy Oil Interaction When Interpreting Low Field Nuclear Magnetic Resonance Logs F.P. Manalo; F.P. Manalo University of Calgary, TIPM Laboratory Search for other works by this author on: This Site Google Scholar J.L. Bryan; J.L. Bryan University of Calgary, TIPM Laboratory Search for other works by this author on: This Site Google Scholar A. Kantzas A. Kantzas University of Calgary, TIPM Laboratory Search for other works by this author on: This Site Google Scholar Paper presented at the SPE International Thermal Operations and Heavy Oil Symposium and International Horizontal Well Technology Conference, Calgary, Alberta, Canada, November 2002. Paper Number: SPE-78971-MS https://doi.org/10.2118/78971-MS Published: November 04 2002 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Manalo, F.P., Bryan, J.L., and A. Kantzas. "Addressing the Clay/Heavy Oil Interaction When Interpreting Low Field Nuclear Magnetic Resonance Logs." Paper presented at the SPE International Thermal Operations and Heavy Oil Symposium and International Horizontal Well Technology Conference, Calgary, Alberta, Canada, November 2002. doi: https://doi.org/10.2118/78971-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 AbstractLow field nuclear magnetic resonance (NMR) in the form of logging tools, bench top analysers or on-line sensors has shown tremendous promise for the interpretation of logs and subsequent characterization of heavy oil and bitumen reservoirs as well as the evaluation of recovery efficiency. The key for this success is the ability to identify properly the NMR response of the heavy oil and bitumen components of the spectra. Contrary to earlier belief on this topic, NMR can detect at least part of the response of heavy oil and bitumen either down-hole or in the production line. The majority of the spectra for heavy oil and bitumen samples are detected at relaxation times less than 10 ms. In clay free sands this spectrum is quite clear and the response of the NMR interpretation algorithms is accurate. However, the spectra of sand containing clays show clay bound water to be in the same range as bitumen. Not properly accounting for the contribution of the clay bound water in NMR spectra results in the overestimation of oil or bitumen content of a given formation. This paper presents experimental results of heavy oil samples and also the spectra of clay bound water for common clays found in Alberta and Saskatchewan. After the spectra are compared independently, sand packs containing different amounts of clay and bitumen are prepared and their NMR spectra are obtained. Patterns of spectra overlapping are identified and a preliminary clay bound water prediction algorithm is presented. This algorithm allows for the separation of the oil contribution from the total NMR spectrum. Examples from different formations illustrate the process by which NMR can be used to determine the oil saturation in different Alberta formations.IntroductionNuclear magnetic resonance (NMR) logging tools have been used in numerous applications within the petroleum industry. In addition to porosity and permeability determination, NMR has been used to analyse heavy crude oils, analogous to the saturates-aromatics-resins-asphaltenes test1, composition determination of oil/water emulsions3,4. NMR spectra contain a vast amount of information but present NMR logging tools are incapable of detecting the complete spectrum from heavy oil and bitumen formations, which has made characterization attempts problematic. While high field NMR can overcome this problem, it is not possible to implement this technology downhole or in water/oil/solids mixtures. Low field is more appropriate for analysis of porous media because the lower field gradient minimizes the possibility of data degradation over the course of the measurement5. While fluids produce characteristic spectra, amplitude peaks for heavy oil and clay bound water appear at similar relaxation times (T2), making it difficult to differentiate between the oil and water signals from a sample that contains both fluids6. This makes the T2 cutoff method7, implemented by many, impossible to use because the assumption that the signal below the T2 cutoff value is due to oil alone is wrong. Some of the signal below the T2 cutoff is due to water bound to clays. Making the distinction between amplitude signals due to oil and clay bound water is important for determining oil and water saturations. Attempts have been made to separate oil and water signals by using multiple time-echo (TE) values8 but this is not applicable for heavy oil and bitumen. Others have tried utilizing dual wait-time to separate signals7 however this is not applicable for use on heavy oil or bitumen samples with clay bound water.The purpose of this paper is to determine the effect of clay content and type on NMR spectra of brine and/or heavy oil in clay/sand mixtures. The results obtained from these experiments were used to formulate an algorithm for differentiating between clay bound water and bulk heavy oil in NMR logs. The ability to do so would enable one to determine oil and brine saturation in samples containing heavy oil and clay bound water, thus increasing the value of using NMR logging tools in the petroleum industry. Keywords: heavy oil, clay sand mixture, brine, clay concentration, composition, clay content, saturation, relaxation time, well logging, upstream oil & gas Subjects: Formation Evaluation & Management, Open hole/cased hole log analysis This content is only available via PDF. 2002. SPE/PS-CIM/CHOA International Thermal Operations and Heavy Oil Symposium and International Horizontal Well Technology Conference 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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.013 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".