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Record W2258580771 · doi:10.3997/2214-4609-pdb.255.97

Preliminary Assessment of the Coalbed Methane Potential of the Mukahbalingian Coal Field, Sarawak

2010· article· en· W2258580771 on OpenAlexaboutno aff
Sia Say Gee, Wan Hasiah Abdullah

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicCoal Properties and Utilization
Canadian institutionsnot available
Fundersnot available
KeywordsCoalbed methaneCoalMethaneCoal miningEnvironmental scienceMining engineeringGeologyPeatWaste managementChemistryGeographyEngineering

Abstract

fetched live from OpenAlex

Worldwide increase in coalbed methane development began in approximately 1988, prior to this coalbed methane was considered a safety hazard and was intentionally vented to the atmosphere to prevent mine gas explosions. In 2007, the United States has produced more than 50 billion cubic meter of pipeline quality coalbed methane (EIA, 2007). To date no effort has been made to explore the coalbed methane potential in the Malaysia’s coal basins. Early coalbed methane exploration targeted thermally mature high rank coals, but the study carried out by Bustin and Clarkson (1998) on a series of Australian, Canadian and United States coals have indicated that there is no or little correlation between coal rank and methane adsorption capacity as commonly assumed.<br>With the successful development of coalbed methane in the Powder River Basin, San Juan Basin and the Greater Green River Basin of the United State of America (SanFilipo, 2000, Nuccio, 2001, Breland, 2004), low rank coals have also become exploration target. Basically, at the current state of knowledge on coalbed methane, the study of coalbed methane is an empirical process (SanFilipo, 2000). Coalbed methane is believed to be generated during three distinct stages of the parent coal's maturation history: Stage 1, early biogenic gas due to bacterial activity during the conversion of peat to coal, Stage 2, thermogenic gas due to volatilization of coals constituents as rank increases, and Stage 3, late biogenic gas due to bacterial activity after the coal has been<br>uplifted to near surface (Rice, 1993). The Mukah-Balingian Coal Field consists of Mukah Coal Basin hosting the Miocene Balingian Formation and Balingian Coal Basin hosting the Pliocene Liang Formation (figure 1). These coals are of low rank whereby the vitrinite reflectance of the exposed Mukah- Balingian coal ranges from 0.34%-0.54% (Chai and Wan Hasiah, 2004) indicating the Mukah-Balingian coals are at the early thermogenic methane generation stage (figure 2), which usually unable to generate enough<br>methane for development. However, the possibility of the coals also accumulating migrated thermogenic and late biogenic methane, which will enhance the development potential of the methane, especially for the Mukah Coal Basin, cannot be discarded. The deeper coals at Mukah Coal Basin may have already reached the peak of wet gas generation (Mazlan and Abolins, 1999), where the thermogenic methane generated has migrated up along the coal seams or faults, together with the late biogenic methane produced at near surface by the bacterial activity after the coal has been uplifted could have enhanced the coalbed methane development potential of the coal basin. The distribution and orientation of cleats in coal will serve as permeability pathways for migration and accumulation of thermogenic methane generated during coalification. Coal seams at Mukah-Balingian Coal Field have a well-developed cleats network (figure 3); with the face cleats trending NNW to NNE and the butt cleats approximately perpendicular to it. The coal resources of the Mukah and Balingian Coal Basins have been estimated to be of 550 million tonnes (Sia and Dorani, 2000) and 200 million tonnes (Hussein and Dorani, 2000) respectively. At a pessimistic gas storage capacity of 2 m3/tonne and an optimistic gas storage capacity of 10 m3/tonne, as of the biogenic gas in Soma lignites, Turkey (Inan, 2008), have translated the coalbed methane in place from 1,100 million m3 to 5,500 million m3 for the Mukah Coal Basin and from 400 million m3 to 2,000 million m3 for the Balingian Coal Basin, respectively.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.315
Threshold uncertainty score0.285

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 head0.007
GPT teacher head0.222
Teacher spread0.216 · 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 designBench or experimental
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

Citations1
Published2010
Admission routes1
Has abstractyes

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