Global Hydrocarbon Energy Potential of Euro-Asia or Solution of Navier-Stokes Equation for Deformed Micro-Structure of the Earth’s Porous Space
Bibliographic record
Abstract
The authors present the hydro-geological basin-type model of global energetics with hydro-dynamic potential showing the interaction of inland platforms of the Earth. The authors propose the new cluster-type approach towards the asymmetric multi-scaled modeling at the basis of integral solution within the quadrature of Navier-Stokes equation for deformed micro-structure of Earth’s porous space. We have studied the effect of poor local tectonic faults upon the arrangement of hydrocarbon traps in lithosphere, shale tight fields, that is based upon the interconnected methods in geophysics, hydro-geology and geo-mechanics, tectono-physics and structural geology. The authors also present the scientific concept of new principles to increase the level of geo-informatics while searching exploring and developing the hydro-carbon reserves, geo-physical studies of seismic emissions, micro-seismic and seismology of mega-scales in geological ages of stresses with transition to predictable man-induced time for geological/technological events. Basing upon the conjugation of Navier-Stokes equation and due consideration of deforming relaxation we have built the energy self-arranged model of Earth’s lithosphere de-fluidization, have found inherent energy delayed spectra for the dynamic contacts of stratified structure. We have obtained the energy conjugated solution of micro-structure porous media interaction for hydro-geological decompression of subduction channel in seabed and saturation of generalized Middle Oceanic Ridge with self-organization of classic sedimentological hydro-carbon traps and complexly organized shale reservoirs with compacted depositions of Allochthon structures in Domanik and Bazhenov formations. The authors present the energy stable mean filtration profile as per Darcy, conjugated with stress-deformed status of porous geo-media micro-structure at various boundary conditions: closed-type or capillary jammed boundaries of filtration blocks and free-type – with phase filtration front and diffusive displacement of fluids by saturated porous media and smart technologies of multi-stage hydro-fracture in dense shale reservoirs. Analytically, in quadrature, there is the dissipation velocity, potential and kinetic energy potentials of mean outflow and shear layer of filtration dissipative structure, like a generalized model of viscous elasticity that depends upon the wave number, phase velocity, thickness of the layer and geo-mechanical parameters that reflect the geo-media heterogeneity.
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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".