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Record W2007795476 · doi:10.2118/0210-0030-jpt

India's First Deepwater Offshore Field Showcases Ingenuity

2010· article· en· W2007795476 on OpenAlexaboutno aff
Pramod Kulkarni

Bibliographic record

VenueJournal of Petroleum Technology · 2010
Typearticle
Languageen
FieldEngineering
TopicMarine and Offshore Engineering Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCorporationIngenuityBusinessPrivate sectorGovernment (linguistics)Petroleum industryPetroleumEngineeringEconomyManagementEconomic growthFinanceEconomicsGeologyEnvironmental engineering

Abstract

fetched live from OpenAlex

India’s first deepwater oil and gas field, located in the KG-D6 block 60 km off the east coast of India in the Bay of Bengal, is a success story of government initiative, private enterprise, and global engineering ingenuity. Operated by Reliance Industries, a multinational corporation based in Mumbai, KG-D6 is a world-class discovery at 1200-m depth with proved plus probable reserves of 11.3 Tcf. The fast-track construction of the oil and gas production facilities involved the mobilization of engineering talent, manufacturing capabilities, and construction skills in the US, Europe, the Middle East, and Asia (Fig. 1). In the process, the KG-D6 field has set numerous world records and milestones for India’s emerging oil and gas industry. First Success of Licensing Round The KG-D6 block was awarded in 2000 to a partnership of Reliance Industries (90%) and Niko Resources of Calgary (10%) in the first licensing round initiated by the government of India through its New Economic Licensing Program (NELP). Before NELP, India carried out E&P activities through public-sector companies such as the Oil and Natural Gas Corporation (ONGC). ONGC remains the leading operator in India, but eight rounds of NELP have opened the country’s oil and gas sector to a variety of other public-sector companies (Indian Oil, Hindustan Petroleum, Gujarat State Petroleum Corporation), international oil companies (Cairn Energy, British Gas, Eni), and Indian private companies in addition to Reliance (Essar, Jubilant). Reliance Industries is an Indian conglomerate with extensive operations in the textile, petrochemical, and retail sectors with annual revenues of USD 28 billion. The company was launched in 1962 as yarn trading company by Dhirubhai Ambani. The growth of the company is a study in vertical integration. From yarn, Reliance built textile mills, petrochemical complexes, and entered the upstream oil and gas industry in 1999. Deepwater Discoveries The Krishna-Godavari (KG) Basin covers an area of more than 20 000 km2 on land and extends into the bay more than 24 000 km2 down a steep slope to 2000-m depth (Fig. 2). The Krishna and western part of the Godavari troughs are filled with mainly Paleozoic and Mesozoic sediments, while the eastern part of the Godavari trough contains a predominantly Upper Mesozoic and Tertiary section. The discovery of biogenic gas has been made primarily in the Upper Pliocene plays.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.696
Threshold uncertainty score0.589

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.003
GPT teacher head0.189
Teacher spread0.186 · 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 designNot applicable
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

Citations2
Published2010
Admission routes1
Has abstractyes

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