Refining Geology With the Bit: An Innovative Approach to Well Design and Geosteering
Bibliographic record
Abstract
Refining Geology with the bit: An innovative approach to well design and geo-steering Herschel Foster Herschel Foster Halliburton Co. 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-97809-MS https://doi.org/10.2118/97809-MS Published: November 01 2005 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Foster, Herschel. "Refining Geology with the bit: An innovative approach to well design and geo-steering." Paper presented at the SPE International Thermal Operations and Heavy Oil Symposium, Calgary, Alberta, Canada, November 2005. doi: https://doi.org/10.2118/97809-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 AbstractMaximizing bitumen recovery from thermal horizontal wells requires optimal placement of the wellbore close to the bottom of the reservoir. Canadian Natural Resources Ltd. is collaborating with Halliburton to utilize logging while drilling (LWD) techniques to achieve optimal well placement in relatively thin heterogeneous reservoirs of the Clearwater Formation in its commercial cyclic steam stimulation operations in east central Alberta, Canada.Halliburton's StrataSteer3D ® service is used both prior to, and during, drilling in real time to plan, model, and steer the horizontal well. Resistivity, and gamma ray are monitored in real-time to detect the base of the reservoir during horizontal drilling and thereby geo-steer the well one meter above the reservoir base. Real-time data are used to recalculate well plans as new surveys and petrophysical data are acquired. Data collected are integrated using DecisionSpace ® for 3D geological modeling and well planning. Geological surfaces are revised while drilling and are applied to successive wells. Log responses are also characterized and correlated to the known area geology.This method of using the bit to steer by, and refine, the geology results in a reduction in overall drilling time by eliminating the need to intentionally 'tag' the bottom of the reservoir. Wellbore completion is also improved by ensuring maximum steam contact with the reservoir. The precision of vertical wellbore placement is increased thereby giving greater confidence in subsequent reservoir performance characterization.IntroductionTwo years ago, Canadian Natural Resources Ltd. (CNRL) embarked on a program to maximize the volume of recovered resource while minimizing surface disturbance by drilling sixteen 1200 metre long wells from a single pad in its commercial cyclic steam stimulation (CSS) operations in east central Alberta, Canada. Optimal placement of these long horizontal wells is complicated by largely unpredictable internal heterogeneities and irregular bounding surfaces of the Clearwater Formation reservoir.Accurate wellbore positioning of long horizontal wells within the reservoir has always been challenging; the ellipse of error around the toe of the wellbore can be as great as +/- 7 meters using traditional directional drilling steering technology. This imprecision in areas of thin and geologically variable reservoir results, at the very least, in greater uncertainty in maximizing reservoir capture, and at worst, inability to place the wellbore within the reservoir. Preliminary directional profiles were generated based on picks from the surrounding stratigraphic wells, however due to the geological variations of this surface the base of the reservoir was confirmed by drilling into the underlying shale and the trajectory of the wellbore then adjusted. These 'shale tags' or ghost holes were performed two to three times for each well increasing the overall drilling time and dogleg severity as well as decreasing the length of wellbore used for production. Keywords: upstream oil & gas, information, well planning, drilling operation, sensor, placement, interpretation, log analysis, spe ps-cim choa 97809, well logging Subjects: Well Planning, Drilling Operations, Reservoir Characterization, Formation Evaluation & Management, Trajectory design, Directional drilling, Open hole/cased hole log analysis 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.
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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) | 0.000 | 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".