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Record W1983451157 · doi:10.2118/1006-0020-jpt

Q&A with Valery Isaakovich Graifer, Chairman of the Board of Directors, JSC Lukoil

2006· article· en· W1983451157 on OpenAlexaboutno aff
Valery Isaakovich Graifer

Bibliographic record

VenueJournal of Petroleum Technology · 2006
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionPetroleum industryTheme (computing)Event (particle physics)Resource (disambiguation)BusinessLibrary scienceManagementEngineeringHistoryComputer scienceArchaeologyEconomics

Abstract

fetched live from OpenAlex

As Chairperson of the Executive Committee of the first SPE Russian Oil and Gas Technical Conference and Exhibition, could you outline the basic aims of the event? The 2006 SPE Russian Oil and Gas Technical Conference and Exhibition will be a major international event for the upstream oil and gas E&P community. It is being organized by SPE and Spearhead Exhibitions Ltd., the partnership responsible for the Offshore Europe conference in Aberdeen. The conference theme is "Technology for World-Class Resources." The theme speaks for itself and reflects the wide historical industry perspective, rich intellectual resources, and unique natural resources of Russia. The exhibition held jointly with the conference will be dedicated to innovative and existing technologies as well as to their optimal application to further develop the oil and gas industry of Russia at the world level. The conference addresses the need for an event that focuses on technology and knowledge exchange and will promote communication among oil and gas industry professionals who will find and produce future energy resources. This event will provide a unique opportunity for all its participants—managers, technical specialists, scientists, and students—to share their experiences and achievements in E&P. The conference will illustrate the technology needed to extend the resource base. Much more oil and gas will be produced from western Siberia and the Volga-Urals basins, and the development of new oil and gas basins in the Arctic offshore, eastern Siberia, and east Asia will replenish the mineral resources of Russia. High-quality mineral resources are quite scarce in all the branches of the mining industry; there are many more resources that have relatively lower quality or that are difficult to produce and for which more efficient technologies should be developed. It is the so-called "resources pyramid concept." Both in Russia and worldwide, the more resources that are produced, the worse their structure gets. In the past, in western Siberia and in the Volga River basin, we used to actively develop Cretaceous and Devonian deposits and had not been actively involved in development of resources of under-gas-cap zones, thin oil-pay fringes, and low-permeability reservoirs. Today, we have to develop the resources of low-permeability reservoirs of the Jurassic and Achim deposits of western Siberia as well as viscous-oil carbonaceous deposits and the resources of Permian deposits of Tatarstan natural bitumen. For Tatarstan and Bashkiria, it is very important to develop bitumen resources, but it is not possible to do it using the open-cut mining method as it is being done in Canada because the strata are deposited deeper and much plowland would be sacrificed. These difficult practical tasks will be solved by today's generation of engineers and scientists. Consequently, the aim of our conference is to solve practical tasks; it is not just academic sessions. It is very important to integrate the technological advances of the E&P industry all over the world with the unique resources of Russia to secure the energy future of our planet under the conditions of growing hydrocarbon costs.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.231

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.183
Teacher spread0.174 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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