Ultra-Lightweight Proppant Development Yields Exciting New Opportunities in Hydraulic Fracturing Design
Bibliographic record
Abstract
Abstract Recent research involving the modification of the mechanical properties of particles has resulted in the development of new materials which have particle strengths suitable for application as fracturing proppant yet, possess much lower apparent specific gravity than today's commercial proppant products. For example, whereas the apparent specific gravity of commonly used Ottawa sand is 2.65 g/cc, various embodiments of the new proppant materials range from 1.25 to 2.0 g/cc. Options for proppant selection have previously been limited to identifying the product of median particle diameter to avoid bridging and, sufficient particle strength to withstand the fracture closure stress, thus providing high proppant pack permeability. Fracturing fluids have been selected primarily based upon in-situ rheological properties in an effort to insure proppant placement by providing sufficient viscosity to minimize proppant settling. Treatment pumping rates are limited by the wellbore configuration, the cumulative cross-sectional perforation area and, the desire to keep the fracture ‘in zone’. As the reservoir properties are fixed and the proppant variables dictated by the wellbore and reservoir stress environment, the fracturing practitioner was left with only limited control of two input variables, significantly limiting creative optimization of the stimulation treatment design. Many potential benefits of application of the new ultra-lightweight proppant in hydraulic fracturing treatments are readily apparent. These include substantially reduced proppant settling, allowing the potential for much increased effective propped length, for fluids of lower viscosity and/or, for reduction of pumping rates. The development of the ultra-lightweight proppants is perhaps most exciting from the perspective of the stimulation design engineer, owing to the enhanced options afforded him or her to improve well stimulation. The design engineer is provided not only a new parameter to influence design, but given freedom from the previous limitations imposed on the fluid and treating rates by the high density proppants previously employed. The objective of this paper is to identify those new opportunities afforded the stimulation design engineer, due to availability of these new ultra-lightweight proppants. Numerous fracture modeling runs have been conducted varying fluid density and rheological properties, treating rates (Reynold's Number), proppant density and size. The results of these efforts are provided, and compared in terms of created fracture geometry, propped fracture length, propped fracture surface area, settled proppant height, and fracture conductivity. The data clearly illustrate that the use of ultra-lightweight proppant allows for optimization of fracturing treatments with greatly improved effective fracture length and more importantly, well producibility.
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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".