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Record W2000472206 · doi:10.2118/139815-ms

Sandstone Acidizing Using A New Class of Chelating Agents

2011· article· en· W2000472206 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSPE International Symposium on Oilfield Chemistry · 2011
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsAkzoNobel (Canada)
Fundersnot available
KeywordsPrecipitationMagnesiumChelationDolomiteGeologyMineralogyCalciumPermeability (electromagnetism)BentoniteChemistryInorganic chemistryOrganic chemistryGeotechnical engineering

Abstract

fetched live from OpenAlex

Abstract The objective of stimulation of sandstone reservoirs is to remove the damage caused to the production zone during drilling or completion operations. Many problems may occur during sandstone acidizing with HCl/HF mud acid. Among these problems: decomposition of clays in HCl acids, precipitation of fluosilicates, the presence of carbonates can cause the precipitation of calcium fluorides, silica-gel filming, colloidal silica-gel precipitation. In this study, a recently introduced chelating agent, glutami-N, N-diacetic acid(GLDA), was used to stimulate sandstone cores. Berea sandstone cores with 8 wt% clays content were used in this study. Different GLDA solution pH values (1.7 - 13) were used in the coreflood experiments. The sandstone cores were scanned before and after the treatment to investigate the effect of GLDA on the core. The effluent samples were analyzed for calcium, magnesium, aluminum, and iron using the ICP to assess the ability of GLDA on the complexation of these ions. Coreflood experiments were run at temperatures of 200 to 300°F and the concentration of GLDA was determined after the treatment. The effects of injection rate, volume of GLDA, temperature, and GLDA initial pH value were investigated on the Berea sandstone cores in the coreflood experiments. Different correlations were used to determine the core permeability after the treatment, and the correlation that gave the minimum error was determined. GLDA showed a strong ability in chelating calcium, iron, magnesium, and it chelated small amounts of aluminum ions from the sandstone cores. At 300°F, GLDA at different pH values was able to enhance the core permeability. Decreasing the injection rate from 5 to 2 cm3/min increased the contact time between the fluid and the rock and increased the amount of dissolved ions. X-ray CT scan showed a porosity increase after the treatments at different conditions. The concentration of GLDA after the coreflood experiment was almost the same before the treatment showing a high thermal stability up to 300°F in the coreflood experiment. Labrid was found to be the best correlation to predict for the core permeability after treating Berea sandstone cores by 20 wt% GLDA solutions.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.282
Threshold uncertainty score1.000

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.242
Teacher spread0.219 · 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