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Record W2026074517 · doi:10.2118/01-05-das

Energy Demand Creates New Opportunities and Challenges for Drilling

2001· article· en· W2026074517 on OpenAlexaboutno aff
John R. Smith

Bibliographic record

VenueJournal of Canadian Petroleum Technology · 2001
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsnot available
Fundersnot available
KeywordsBoomProfitability indexNatural resource economicsDrillingSupply and demandProduction (economics)Fossil fuelNatural gasNatural gas pricesOil reservesBusinessEconomicsEngineeringPetroleumFinanceWaste managementMechanical engineeringEnvironmental engineering

Abstract

fetched live from OpenAlex

Abstract Growing world energy demand has created the need for more rapid addition of new hydrocarbon reserves. In North America, an increased level of drilling activity for natural gas will be required to meet this need. Increased activity offers a long sought opportunity for growth and profitability in the drilling industry. This article will review the facts and forecasts describing the opportunity and the challenges involved in taking advantage of it. The Opportunity Increasing Energy Demand Worldwide energy demand has grown substantially since the "oil boom" of the late 1970s and early 1980s. Recent energy prices imply that the excess supply capacity developed during that boom for natural gas in North America is finally gone. Consequently, development of new reserves in excess of those needed to replace production will be necessary to meet demand and increased drilling activity will be necessary to find and develop those reserves. This requirement for increased reserves, and therefore increased drilling, creates the potential for both profitability and growth in North America's drilling industry. Given the last twenty years of having to repeatedly liquidate assets and downsize its workforce to survive, this is potentially a critically important opportunity for our industry. Is this really a "landmark" opportunity or just a short-term fluctuation? If this opportunity is real, what will be required to take advantage of it? North American Gas Production A recent article by the Gas Technology Institute (GTI) presents a quantitative case for increasing demand, increasing drilling activity, and the need for continued improvements in technology to control energy costs(1). Their projection of a 50﹪ increase in US gas consumption over the next 15 years can be rationalized based on continuation of the actual 30﹪ growth in consumption over the last 15 years plus an accelerating demand for gas in "price-sensitive" markets. Forecasts by the US Energy Information Administration (EIA) are similar. Both forecasts predict increasing FIGURE 1: Annual worldwide rig count(4) (February only in 2001). demand for energy and specifically for natural gas(2). The potential to satisfy this increasing demand with domestic energy sources is limited. Increasing oil imports to the US, amidst declining US oil production, are obvious evidence of these limits. However, natural gas production has increased about 17﹪ in the US since 1983(1, 2). After a change in export regulations, gas production increased about 130﹪ in Western Canada from 1986 to 1999(3), and exports to the US from Canada increased almost 300﹪ in the same period. Consequently, forecasters anticipate continued increases in gas production in North America to meet increasing energy demand. Historical Drilling Activity Recent drilling statistics for the US and Canada lend some support to the conclusions in the previous section. Although the US rig count dipped to a record low in 1999 due to low energy prices, there has been a strong recovery in both the US and Canadian rig counts (see Figure 1)(4). Much of this drilling activity has been focused directly on developing additional gas reserves.

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 score0.918
Threshold uncertainty score0.436

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.000
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 head0.048
GPT teacher head0.239
Teacher spread0.191 · 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

Citations5
Published2001
Admission routes1
Has abstractyes

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