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Record W4246787672 · doi:10.3997/1365-2397.24.11.27183

Early fortunes of CGG in a volatile world

2006· article· en· W4246787672 on OpenAlexaboutno aff

Bibliographic record

VenueFirst Break · 2006
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsGeologySynclineBrotherMining engineeringPaleontologyLawTectonics

Abstract

fetched live from OpenAlex

In recognition of the 75th anniversary of Compagnie Générale de Géophysique, Europe’s longest surviving geophysical services company, we publish here extracts with photos from a new history of the company. The beginning 1912-1931 It was in the summer of 1912 that the young Conrad Schlumberger, who had studied at the prestigious École Polytechnique, carried out his first electrical surveying experiments on iron-rich synclines on his Val Richer property in Normandy. Using the principle that water conducts electric current, he constructed a ‘black box’ which recorded the electric current flowing between two rods acting as electrodes. He then drew a map which he compared with topographical contour lines. Comparison of the two sets of results provided clear evidence that electrical soundings could be used to build up a picture of the vertical layering of sedimentary strata, as a function of their resistivity. The following year, he measured the natural forces created by pyrites at Sain-Bel near Lyons and at Bor in Yugoslavia. After the war, Conrad Schlumberger returned to his research and made a number of important discoveries. Some of the first involved applied geophysics: in connection with oil exploration associated with the Aricesti dome in Romania in 1923, and with mining exploration at Noranda, Canada in 1924. Two years later, he formed the Société de Prospection Electrique (SPE) with his brother Marcel Schlumberger. This company, located at 30, rue Fabert, Paris, specialized in oil and mining exploration and civil engineering. It was here that the first ‘subsurface’ drilling techniques - soon to be used worldwide by SPE-Schlumberger crews -were developed, together with themethods of prospecting used some years later by the emerging CGG. In 1927, Conrad Schlumberger experimented with electrical sampling at the Pechelbronn site, the only known French oil deposit. He used drilling rigs to conduct vertical measurements, in order to gain a better understanding of the nature of the stratigraphic layers encountered, and to record the levels that showed promise for future drilling. This was the exploration technique that came to be known as logging and was destined to have a brilliant future. A year later, the SPE had nearly 100 employees, more than half of them engineers. The economic crisis that followed the stock market crash of 1929, and the ensuing fall in oil prices, left the SPE in financial difficulties. One consequence was SPE’s merger with the Société Géophysique de Recherches Minières (SGRM) and the founding in 1931 of the Compagnie Générale de Géophysique (CGG). It is a venture that has continued to do business ever since, adapting to all of the changes and crises that have marked the history of oil.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0050.010
Scholarly communication0.0080.004
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0180.003

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 head0.008
GPT teacher head0.189
Teacher spread0.181 · 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 designObservational
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
Published2006
Admission routes1
Has abstractyes

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