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Record W2329142213 · doi:10.2118/176847-ms

Geochemical Assessment of the Huntly Coalbed Methane (CBM) Field, New Zealand Using a Chloride, Bicarbonate, and Boron Ternary Diagramme

2015· article· en· W2329142213 on OpenAlexaboutno aff
Hafeza Abu Bakar, Sadiq J. Zarrouk

Bibliographic record

VenueSPE Asia Pacific Unconventional Resources Conference and Exhibition · 2015
Typearticle
Languageen
FieldEngineering
TopicCoal Properties and Utilization
Canadian institutionsnot available
Fundersnot available
KeywordsCoalbed methaneAquiferProduced waterGeologyGroundwaterTernary plotChlorideBasementMineralogyGeochemistryTernary operationCoal miningPetroleum engineeringChemistryCoalMaterials scienceMetallurgyGeotechnical engineering

Abstract

fetched live from OpenAlex

Abstract This study investigates the chemical signature of produced water from the Huntly coalbed methane (CBM) using a newly proposed Cl-HCO3-B ternary diagram. This ternary diagram is used to identify the source of fluid in the different aquifers (ground water, CBM and deep basement) and the potential communication between these aquifers. A comparison study of Huntly with other CBM fields (Maramarua, Powder River Basin, San Juan Basin, Raton, Atlantic Rim, Liulin and Alberta) was also carried out to help characterize and verify the water being abstracted. Results from the ternary diagram show that produced water samples from Huntly CBM wells are plotted in the middle along chloride-bicarbonate axis. This indicates that the water samples are CBM water originated from moderate to good permeability coal seams. The water samples also indicate that they have some communication with shallow aquifer due to significant bicarbonate concentration. Meanwhile water samples from basement well (B1) are plotted near to Boron side along Boron-chloride axis, which signifies basement water. The water originated from low permeable formations and afar from recharge area. Furthermore, results from schoeller diagrams show that Huntly water samples from CBM wells, shallow monitoring well and basement well exhibit distinct water chemistry patterns. The CBM water pattern shows sodium, bicarbonte and chloride as the predominant ions. It is similar to the typical CBM water pattern and comparable with CBM water from selected methane producing CBM fields with minor differences. Water samples from the basement well on the other hand shows sulfate and magnesium as the primary ions and the concentration for all ions are lower than CBM water. Shallow water sample exhibits the lowest concentration for all ions compared to CBM water and basement water with bicarbonate as the main ion. In conclusion, this ternary diagram is a reliable tool to identify the possible links between deep and shallow aquifers, formation permeability and origin of the water in one diagram. It enhances the understanding of the natural CBM reservoir setting for future field development, wastewater management and water quality monitoring.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.627
Threshold uncertainty score0.413

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 head0.031
GPT teacher head0.247
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 designSimulation or modeling
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
Published2015
Admission routes1
Has abstractyes

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