Использование методов гравиразведки для исследования распределения плотности серы на серных картах
Bibliographic record
Abstract
The article examines the possibility to use gravity measurements for investigation of Sulphur density in a store. The methods of Sulphur amount determination used nowadays add up to the determination of a Sulphur store volume. The Sulphur density needed for the Sulphur mass estimation is calculated as an average density of several samples, taken in different points of the Sulphur pad. Heterogeneity of the Sulphur density partition within the store volume determined by the processes of the Sulphur pad development and filling can result in considerable mistakes of the average density determination according to the mentioned method. The article tells about the investigation of Sulphur density volumetric partition in the amount of Sulphur pad using gravity measurements. Changing of a gravity field depending on the density values proceeds linearly and it testifies that the task in view has unique solution. Современные технологии переработки и использования газа 147 № 1 (21) / 2015 Determination of the map reference for the ordinary points of gravimeter observation is done by means of the Trimble R8 GPS receiver. Gravity data at the points of observation have been measured by three automatic temperature-controlled Canadian gravimeters CG-5 of Scintrex production. Four patterns of data interpretation have been used such as punctual method of density determination, the Nettleton’s method, method of density calculation for regular solids and method of three-dimensional geological and geophysical modeling. On the basis of these models the efficient average Sulphur density at the Sulphur pad has been calculated. Comparison of the gravimetric data interpretation models has shown that calculation according to 3D-modeling methodic is the most laborious way, but it gives an opportunity to get a realistic law of density partition as it accounts a real form of a sulfuric body and uses the whole array of gravimetric and geodesic data. The punctual and Nettleton’s methods could be profitably employed for measuring of a slope part (a dump) of Sulphur pad. If one uses the calculated densities for the whole body they will be understated. In this case one must estimate densities for a central part of a heap.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.010 |
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".