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Record W2480017441 · doi:10.1016/j.ngib.2016.02.002

Breakthrough and prospect of shale gas exploration and development in China

2016· article· en· W2480017441 on OpenAlexaboutno aff
Dazhong Dong, Yuman Wang, Xinjing Li, Caineng Zou, Quanzhong Guan, Chenchen Zhang, Jinliang Huang, Shufang Wang, Hongyan Wang, Honglin Liu, Wenhua Bai, Feng Liang, Wen Lin, Qun Zhao, Dexun Liu, Zhen Qiu

Bibliographic record

VenueNatural Gas Industry B · 2016
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsnot available
FundersSINOPEC Petroleum Exploration and Production Research InstituteGE Oil and GasChina Petrochemical CorporationChina National Petroleum CorporationChinese Academy of Sciences
KeywordsShale gasGeologyPetroleum engineeringOil shalePaleontology

Abstract

fetched live from OpenAlex

In the past five years, shale gas exploration and development has grown in a leaping-forward way in China. Following USA and Canada, China is now the third country where industrial shale gas production is realized, with the cumulative production exceeding 60 × 108 m3 until the end of 2015. In this paper, the main achievements of shale gas exploration and development in China in recent years were reviewed and the future development prospect was analyzed. It is pointed out that shale gas exploration and development in China is, on the whole, still at its early stage. Especially, marine shale gas in the Sichuan Basin has dominated the recent exploration and development. For the realization of shale gas scale development in China, one key point lies in the breakthrough and industrial production of transitional facies and continental facies shale gas. Low–moderate yield of shale gas wells is the normal in China, so it is crucial to develop key exploration and development technologies. Especially, strictly controlling single well investment and significantly reducing cost are the important means to increase shale gas exploration and development benefits. And finally, suggestions were proposed in five aspects. First, continuously strengthen theoretical and technical researches, actively carry out appraisal on shale gas “sweet spots”, and gradually accumulate development basis. Second, stress on primary evaluation of exploration and development, highlight the effective implementation of shale gas resources, and control the rhythm of appraisal drilling and productivity construction. Third, highlight fine description and evaluation of shale gas reservoirs and increase the overall development level. Fourth, intensify the research on exploration and development technologies in order to stand out simple and practical technologies with low costs. And fifth, summarize the experiences in fast growth of shale gas exploration and development, highlight the demonstration and evaluation of key indicators, and try to achieve more breakthroughs and replacement in new areas, new domains and new strata.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.225
Teacher spread0.212 · 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 source (direct Gemma or distilled Codex), 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

Citations228
Published2016
Admission routes1
Has abstractyes

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