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Record W2004313220 · doi:10.2118/04-11-ht

National Instrument 51-101 (NI 51-101) Reserves Reconciliation-Part 1

2004· article· en· W2004313220 on OpenAlexaboutno aff
J. Glenn Robinson, David Elliott

Bibliographic record

VenueJournal of Canadian Petroleum Technology · 2004
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsnot available
Fundersnot available
KeywordsOil reservesFossil fuelNatural resource economicsBank reservesProduction (economics)Environmental scienceReserve requirementEconomicsPetroleumGeologyEngineeringCentral bankWaste management

Abstract

fetched live from OpenAlex

Introduction Because of the uncertainty in estimating oil and gas reserves, the exact quantity of hydrocarbons to be recovered will never be known until production reaches the economic limit and the reservoir is abandoned. It is, however, necessary from time to time to estimate the reserves to be recovered throughout the producing life of a field, and to verify that the reserves are properly estimated and classified according to the definitions and guidelines specified in the Canadian Oil and Gas Evaluation Handbook, "COGEH." The testing procedure that is used is referred to as a "Reserves Reconciliation" and should be performed at least annually or more often if there are material changes to reserves estimates. A reserves reconciliation is the single most powerful tool in tracking changes in oil and gas reserves estimates. The process keeps track of the flow of reserves into and out of a company's reserves inventory. Reserves can be added to inventory by:Discovery of new reservoirs;Extensions of existing reservoirs;Installation of improved recovery schemes;Infill drilling projects; and,Acquisitions of reserves. Reserves can be deducted from inventory by:Dispositions of reserves; and,Production of reserves. Reserves can fluctuate within inventory because of:Economic changes; and,Technical revisions. Changing economic conditions may cause either additions or reductions to reserves as economic perceptions of the future change. Technical revisions occur due to estimation procedures, resulting from moving reserves from one classification to another, obtaining new information, and, unfortunately, due to poor geological and engineering reserves estimation practices. Technical revisions form the main focus of this paper. Basic Concepts of Reserves Definitions Before a reserves reconciliation can be performed, an evaluator must have a sound knowledge of reserves definitions and their TABLE 1: Reserves classifications and notations. Available In Full Paper. application. As detailed in the COGEH, reserves estimates are classified according to the following criteria:Certainty or uncertainty (Proved, Probable, Possible);Production status (Producing, Non-Producing); and,Development stage (Developed, Undeveloped). These classifications are summarized in Table 1 along with generally accepted notations for each classification. The objective of estimating reserves is to establish the "best estimate" of the reserves to be recovered which, according to the COGEH definitions, is the proved + probable (2P) reserves. The proved (1P) and proved + probable + possible (3P) reserves estimates are conservative and optimistic estimates, respectively, which provide a measure of the central tendency about the 2P reserves estimate. When there is a wide range between the 1P and 3P reserves estimates, this indicates a high degree of uncertainty. When the range is very small, there is a low degree of uncertainty. Generally, a high degree of uncertainty exists in the early stages of development of an entity, and this uncertainty decreases (i.e., certainty increases) with time as more and more information becomes available, as illustrated in Figure 1.

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)0.001
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 score0.940
Threshold uncertainty score0.791

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.019
GPT teacher head0.243
Teacher spread0.223 · 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

Citations7
Published2004
Admission routes1
Has abstractyes

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