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Record W2945206192 · doi:10.2118/0619-0022-jpt

New Operators, Well Designs Drive Record Gas Production in Haynesville

2019· article· en· W2945206192 on OpenAlexaboutno aff
Trent Jacobs

Bibliographic record

VenueJournal of Petroleum Technology · 2019
Typearticle
Languageen
FieldEngineering
TopicOil and Gas Production Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsOil shaleGeologyFossil fuelMining engineeringPaleontologyEngineering

Abstract

fetched live from OpenAlex

The Haynesville Shale might be the greatest comeback story of the US shale revolution. At one point in 2016, there were just 13 active rigs in the dry-gas play that stretches between Louisiana and Texas. That figure has increased fourfold to today and, in April, the Haynesville set a new production record of 10.5 Bcf/D—the strongest output since 2011, per the US Department of Energy (DOE). The resurgence has been led not by the large operators who initially put the Haynesville on the map, but by a group of private equity-backed operators that entered the play within the last few years. Their momentum has been driven by liquefied natural gas (LNG) facilities that began exporting the product from the US Gulf Coast in 2016. Petroleum engineers have also moved the needle by creating a class of horizontal wells that look nothing like what the region has seen before in terms of productivity. “I think that over the past 3 or 4 years, the understanding of optimal frac design and the selection of the targets has evolved quite dramatically,” said Artem Abramov, the head of shale research for Rystad Energy in Oslo. The nearly 300 wells that were brought online in the Haynesville during 2017 have produced a cumulative average of 3.6 Bcf. They continue to generate an average of 8.5 MMcf/D, according to public data compiled by ShaleProfile. This is a marked improvement over 2015 vintage wells that managed only 1.5 MMcf/D after reaching the same cumulative production point. In terms of long-tail production, this is an increase of more than 450%. One of the most critical factors behind the improved recovery is the increased use of proppant in horizontal wells. Thanks to lower prices made possible by the in-basin mine trend taking hold across the US shale sector, operators can afford to place two or three times the amount of sand into Haynesville’s tight-rock system than they were prior to 2016. Abramov remarked that this development has effectively “re-established it as a completely new play.” Too Much of a Good Thing Rig counts have remained steady at around an average of 55 since the start of the year but the region is seeing more completion activity and has become one of the fastest-growing demand centers for hydraulic fracturing crews in the US. As the race to reawaken the sleeping giant continues on, there are concerns that too much production could harm the play’s economic standing. Calgary-based RS Energy Group (RSEG) recently looked at the issue and found that takeaway capacity may hit a wall as early as this summer, possibly curtailing drilling plans for the rest of the year. “It’s not a Haynesville constraint in isolation,” explained Trevor Sloan, an executive director and co-head of research at RSEG. “Rather, Haynesville producers share common routes to coastal demand centers—including LNG facilities—with northeast producers, and the midcontinent for that matter. Potential from all those basins could cause some congestion on routes south.”

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)0.002
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.086
Threshold uncertainty score0.171

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0400.007

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 head0.006
GPT teacher head0.208
Teacher spread0.202 · 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
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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