Business Case for Geothermal Energy Development to power LNG Project in BC
Bibliographic record
Abstract
Geological uncertainties of the Mount Meager volcanic complex in British Columbia, Canada, are analyzed to evaluate the economic viability of a geothermal power plant. This study utilizes empirical petrophysical formulas combined with field data to estimate geologic properties, including rock porosity and permeability. Flow rate, outlet pressure and temperature for three different conceptual flow models, two types of closed loop systems and one open loop system, were simulated. An economic analysis was carried out to understand the impact of rock permeability uncertainty and geothermal aquifer temperature on technical feasibility and economics viability of a geothermal power plant the complex. This study found that Enhanced Geothermal System (EGS) implementation can deliver a mass flow rate of up to 63kg/sec of 197oC fluid from the subsurface in the study area. Sensitivity analyses suggests that permeability is critical for the project economics. De-risking rock permeability with further research and reducing well costs will improve the economic viability of geothermal resource development in British Columbia and should be pursued further.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".