THM Induced Fluid Flux with Conductive-Convective Heat Transfer Around a Borehole in Naturally Fractured Media
Bibliographic record
Abstract
Abstract For underground storage and sequestration design, studies on wellbore responses of injecting CO2/CH4/H2 into and producing it from naturally fractured media (NFM) are important for examining project efficiency, safety, and economic evaluations. A coupled formulation was developed using a dual-porosity model to simulate a coupled thermal-hydraulic-mechanical (THM) responses in an NFM with a two-phase Darcy's type fluid flow. Considering the conductive heat flow in low-permeability NFM (LPNFM) and conductive-convective energy transport in high-permeability naturally fractured media (HPNFM), analytical solutions of THM responses in the vicinity of a borehole, subject to a Cauchy-type thermal-hydraulic (TH) boundary condition and [1] non-hydrostatic loading at the wellbore and in the far field, are generated. A local thermal equilibrium (LTE) conditions over the bulk fissured medium is considered. The Laplace transform technique was applied, and semi-analytical solutions for the fluid pressures, temperature changes, and induced effective stresses in each system were developed. The results of the induced and total pressures/temperatures are generated, which are critical for wellbore integrity, capacity, and efficiency design, and the latter are critical for TH property determination, particularly when a supercritical state is surpassed. Affected by fluid mobility, temperature perturbation may significantly differ between the two media owing to a higher hydraulic flux in the HPNFM, in which convective energy transport is dominant. Subsequently, the thermally induced hydraulic-mechanical(HM) responses vary, and implications for the sequestration of CO2 and characteristics of the supercritical state of carbon dioxide, for example, for injectivity evaluation, estimating CH4 storage capacity and post-production, and performing enhanced geothermal system (EGS) design, are discussed.
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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".