Application of Temperature Observation Wells During SAGD Operations in a Medium Deep Bitumen Reservoir
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Bibliographic record
Abstract
Abstract The steam assisted gravity drainage (SAGD) pilot test in the LiaoHe oilfield of China is the first SAGD project conducted in China in the deeper bitumen reservoir (650 - 800 m), using a combination of vertical injectors and horizontal producers. Temperature observation wells play an important role in the understanding of the pilot performance and optimization of the operation process. This paper will present the objectives, principles, interpretation and application of the temperature observation wells in the pilot area. A number of production problems were identified and solutions were sought to improve the SAGD performance through the use of temperature and other data obtained from the observation wells. Introduction This paper is a continuation of CIPC paper 2006-146. That paper introduced the successful test of the SAGD pilot in a deep biutmen reservoir in China(1). The pilot has been expanded to include 12 horizontal wells since the presentation of the original paper. The earlier two wells have reached a daily oil rate of over 100 m3/day per well. The current recovery factor is approximately 27% and the anticipated ultimate recovery is over 60%. Compared with most current Canadian SAGD projects, the reservoirs in the LiaoHe oil field operated by PetroChina presented two challenges to the use of SAGD technologies. First, the reservoir depth exceeded 500 m (530 - 810 m) compared to the typical 200 - 500 m present in most Canadian SAGD projects(2), which increased the heat loss from the injection wellbores to the overburden Second, the reservoir had been subjected to primary production by Cyclic Steam Stimulation (CSS) prior to the implementation of the SAGD process while for the majority of the Canadian SAGD projects the technique is applied directly to a virgin reservoir. The current recovery factor by CSS in the LiaoHe reservoir is approximately 20% of the OOIP. This prior depletion by CSS complicated the conversion to SAGD applications and determination of operating parameters caused by the alteration in the distribution of the remaining oil saturation present in the formation (Figure 1).
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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 | 0.003 | 0.001 |
| 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 it