Quantifying heterogeneity in variably fractured sedimentary rock using a hydrostructural domain
Bibliographic record
Abstract
Other| January 01, 2008 Quantifying heterogeneity in variably fractured sedimentary rock using a hydrostructural domain Megan J. Surrette; Megan J. Surrette 1Department of Earth Sciences, Simon Fraser University, Burnaby, British Columbia V5A 1S6, Canada Search for other works by this author on: GSW Google Scholar Diana M. Allen Diana M. Allen 1Department of Earth Sciences, Simon Fraser University, Burnaby, British Columbia V5A 1S6, Canada Search for other works by this author on: GSW Google Scholar Author and Article Information Megan J. Surrette 1Department of Earth Sciences, Simon Fraser University, Burnaby, British Columbia V5A 1S6, Canada Diana M. Allen 1Department of Earth Sciences, Simon Fraser University, Burnaby, British Columbia V5A 1S6, Canada Publisher: Geological Society of America Received: 19 Jul 2006 Revision Received: 07 Apr 2007 Accepted: 09 Jul 2007 First Online: 08 Mar 2017 Online ISSN: 1943-2674 Print ISSN: 0016-7606 The Geological Society of America, Inc. GSA Bulletin (2008) 120 (1-2): 225–237. https://doi.org/10.1130/B26078.1 Article history Received: 19 Jul 2006 Revision Received: 07 Apr 2007 Accepted: 09 Jul 2007 First Online: 08 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn Email Permissions Search Site Citation Megan J. Surrette, Diana M. Allen; Quantifying heterogeneity in variably fractured sedimentary rock using a hydrostructural domain. GSA Bulletin 2008;; 120 (1-2): 225–237. doi: https://doi.org/10.1130/B26078.1 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyGSA Bulletin Search Advanced Search Abstract Characterizing permeability at a regional scale where fracture distributions are heterogeneous can be aided by defining hydrostructural domains. A hydrostructural domain approach is applied to a fracture data set for Mayne Island, one of the Gulf Islands in British Columbia, Canada. Fracture domains were defined using changes in fracture intensity, and are represented and modeled using a stochastic, discrete fracture-network approach. Models that statistically honor field data were constructed for representative stations for three hydraulically distinct, hydrostructural domains: "highly" fractured, interbedded mudstone and sandstone (IBMS-SS) (<10-cm spacing), "less" fractured sandstone (LFSS) (>1.0-m spacing), and fault and fracture zones (FZ). The highly fractured IBMS-SS and FZ domains have a greater potential porosity compared to the LFSS domain due largely to greater fracture intensities. The two highly fractured domains (IBMS-SS and FZ) have an average permeability, on the order of 10−13 m2, due to enhanced fracture-network connectivity. In contrast, the LFSS domain has an average permeability of 10−14 m2. The possibility of increased infiltration rates within FZ domains, coupled with a high-storage potential relative to the other domains suggests that fault zones with similar characteristics are likely zones of recharge. As a result, these recharge zones have an increased capacity to store and transmit infiltrated water throughout the interconnected fracture network. This study demonstrates that hydrostructural domain modeling provides a good foundation upon which to simulate flow and transport in regional groundwater resource studies. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".