Monitoring Fracturing Fluid Flowback with Chemical Tracers: A Field Case Study
Bibliographic record
Abstract
Abstract Proper fluid and proppant placement is the key to a successful fracture simulation. Performance of fracturing fluids, as they are pumped into a fracture, is the key to effective proppant placement. Fracturing fluids are used to both prop open a fracture and to effectively carry the proppants and place them into a fracture and to successfully flowback to the surface. Productivity of a well, after proppant placement, greatly depends on the flowback efficiency. This paper presents a novel technique where fracturing fluid flowback can be effectively monitored in a complex multi-zone fracture system. A family of environmentally safe chemical frac tracers, with unique characteristics, is developed to assure distinction of each zonal frac fluid upon flowback. The paper also presents a case where the technique was implemented in a multi-stage-fracturing job. Various chemical frac tracers were injected during different stages, which included pad fluid and crosslinked fluid with various proppant concentrations and breaker loading. Results and fracture flowback diagnoses are presented.
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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".