MétaCan
Menu
Back to cohort
Record W4255132619 · doi:10.2523/95384-ms

Reducing the Footprint of 3D Seismic in the Tropical Rainforest of Ecuador

2005· article· en· W4255132619 on OpenAlexaff
Mark C. Thurber, David M. Westlund, Fernando Benalcazar

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicSeismology and Earthquake Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsRainforestFootprintTropical rainforestTropicsEnvironmental scienceGeologyEcologyPaleontology

Abstract

fetched live from OpenAlex

Reducing the Footprint of 3D Seismic in the Tropical Rainforest of Ecuador Mark William Thurber; Mark William Thurber WALSH Search for other works by this author on: This Site Google Scholar David M. Westlund; David M. Westlund EnCana Corp Search for other works by this author on: This Site Google Scholar Fernando L. Benalcazar Fernando L. Benalcazar Encan Ecuador Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Asia Pacific Health, Safety and Environment Conference and Exhibition, Kuala Lumpur, Malaysia, September 2005. Paper Number: SPE-95384-MS https://doi.org/10.2118/95384-MS Published: September 19 2005 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Thurber, Mark William, Westlund, David M., and Fernando L. Benalcazar. "Reducing the Footprint of 3D Seismic in the Tropical Rainforest of Ecuador." Paper presented at the SPE Asia Pacific Health, Safety and Environment Conference and Exhibition, Kuala Lumpur, Malaysia, September 2005. doi: https://doi.org/10.2118/95384-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu nav search search input Search input auto suggest search filter All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Asia Pacific Health, Safety, Security, Environment and Social Responsibility Symposium Search Advanced Search AbstractMultiple seismic exploration programs have been conducted in the Ecuadorian Amazon since the 1970s without reusing previously cleared areas for heliports and camps, resulting in unnecessary cumulative deforestation impacts. Walsh Environmental Scientists and Engineers (WALSH) and EnCana have developed a remote sensing technique to eliminate these redundant impacts by accurately identifying historic heliports and camps in mature tropical rainforest for reuse in a 3D seismic exploration program.IntroductionModern seismic exploration programs in a mature tropical rainforest typically utilize a combination of road, river and helicopter access.Many remote exploration areas are restricted to river and helicopter access due to a lack of existing road infrastructure and legal requirements by government regulators not willing to open up new roads, which would accelerate secondary impacts associated with legal and illegal settlement (1).In a roadless seismic operation, heliport and camp clearing typically is the most significant deforestation impact.Seismic activities are often repeated in a particular exploration area due to new data requirements as the seismic acquisition technology has become more sophisticated or a new operator requires additional subsurface data.Helicopter access to the program is required for the movement of laborers, equipment and material.The impact of these operations is dependent upon the usage and type of access.The smallest impacts tend to be 'drop zones' where equipment is lowered through the canopy on a long line.The helicopter pilot will search for a natural opening in the canopy as close as possible to his target and mark the location with GPS. In the majority of cases no vegetation clearing of a drop zone is needed.A heliport is an area of sufficient area for a helicopter to safely approach and land to discharge laborers or equipment. Heliports vary in size depending on the topography, wind patterns, height of canopy and type of helicopter in use. In heliportable operations heliports are strategically located for operational efficiency and safety in the case of a medi-vac.Camps in heliportable operations usually result in the greatest impact. They contain living areas, room for support material equipment storage, and a heliport, usually in close proximity to one another.Historically cleared areas for heliports and camps have naturally regrown quickly with low diversity secondary forest. These areas are difficult to locate or have been ignored by subsequent seismic campaigns resulting in multiple deforestation impacts as new heliports and camps are cleared from the high diversity mature tropical rainforest unnecessarily.A remote sensing technique for determining the location of these historically cleared areas and effective reuse in the Ecuadorian Amazon is described, which has eliminated these redundant deforestation impacts.Measuring BiodiversityThe area of the seismic program is located largely within Yasuni National Park, with very high animal and plant diversity (Fig. 1).Biologists have measured 2,274 species of trees (2), 567 species of birds (3), 173 species of mammals (4), 105 species of amphibians (5), and 83 species of reptiles (6), 382 species of fish (7), and over 100,000 species of insects (8) in the relatively restricted area of 982,000 hectares. Keywords: heliport, ambiente unesco wildlife conservation society, diversity, desarrollo sostenible, secondary vegetation, ecuador, historic heliport, canopy, deforestation impact, tropical rainforest Subjects: Reservoir Characterization, Seismic processing and interpretation This content is only available via PDF. 2005. Society of Petroleum Engineers You can access this article if you purchase or spend a download.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.891
Threshold uncertainty score0.108

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 science0.0010.000
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 head0.017
GPT teacher head0.242
Teacher spread0.225 · 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 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

Citations6
Published2005
Admission routes1
Has abstractyes

Explore more

Same topicSeismology and Earthquake StudiesFrench-language works237,207