Natural Gas Powered Direct-Drive Turbine Hydraulic Fracturing Technology Delivers High Power Density and Energy Transfer Efficiency for Environmental, Economic and Operational Benefits
Bibliographic record
Abstract
Abstract In today's hydraulic fracturing operations there is an increasing demand for more rate and pressure resulting in more energy intense operations. Therefore, there is a need for more horsepower (HP) to be available on site. In order to support this, along with the industry's transition into a sustainable and low carbon footprint initiative, companies have devoted great efforts in research and development into developing the next generation hydraulic fracturing equipment. As a result, the first natural gas powered 5,000 HP direct drive turbine fracturing pumper has recently been introduced in North America. The objective of this paper is to provide technical insights on how the direct drive gas turbine technology brings a high-power density and efficient energy transfer solution to deliver operational, economic, and environmental benefits. The industry had limited success in utilization of the direct drive gas turbine technology in the past. The main obstacles were unreliable and inefficient turbine to pump power transfer mechanism, low power density, and lack of an integrated engineering approach. The advancements in gas turbines and speed reduction technology, coupled with an in-depth application of equipment design knowledge allowed the company to successfully develop the next generation of hydraulic fracturing technology. The technology is a power train consisting of a 5,000 HP gas turbine engine (5,336 HP actual), a robust single stage reduction gearbox, and a 5,000 HP continuous duty pump. The direct drive turbine technology brings one of the highest power densities and efficient mechanical power transfer designs on the market today. The technology utilizes a split shaft gas turbine to allow for a power gapless powertrain, linear output rpm, and low speed high torque capabilities. A wide variety of fuels can be used including compressed natural gas (CNG), liquefied natural gas (LNG), field gas, and liquid fuel (e.g., diesel). Based on certified third-party emissions data, the direct drive technology is shown to have one of the lowest greenhouse gases (GHG) and Environmental Protection Agnecy (EPA) regulated emissions profiles. At the time of this writing, the first direct drive turbine frac fleet has been deployed in the Haynesville for 2 years and more recently introduced in Canada (Montney and Duvernay).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".