Skip to content
DraconiticResearch
Search Sources API
203,203 studies31 sourcesUpdated 18 min ago
Peer-reviewedCC BY-NC-NDEnergy & Fuels

Characterizing Physical Properties and Controls on Gas Hydrate Saturation Using Borehole Log and Core Data at the Alaska North Slope Gas Hydrate Production Test Site

4 affiliations
  1. 1U.S. Geological Survey Central Energy Resources Science Center , , ,
  2. 2U.S. Geological Survey Woods Hole Coastal and Marine Science Center , , ,
  3. 3U.S. Department of Energy National Energy Technology Laboratory , , ,
  4. 4Japan Organization for Metals and Energy Security , ,

Abstract

The JOGMEC-DOE-USGS Collaborative Gas Hydrate R&D Project in Alaska has acquired a wealth of geophysical data at the Kuparuk State 7-11-12 site on the Alaska North Slope to facilitate site characterization and interpretation of the 2023–2024 extended duration reservoir response gas production test data. We integrate borehole logging and core data to characterize the reservoirs and bounding layers, and to investigate geologic factors controlling gas hydrate saturation. Using borehole density logs and core-derived grain density information, we calculate formation porosity for the four gas hydrate wells at the site. In parallel, we develop a higher-resolution porosity model based on density data acquired on pressurized cores. We derive three independent gas hydrate saturation (Sh) estimates based on electrical resistivity and P-wave and S-wave sonic velocity (VP and VS, respectively) log data. These log-based estimates are consistent with one another, with direct measurements of Sh in pressure cores, and with estimates from nuclear magnetic resonance (NMR) logs. Linking our P-wave-derived Sh estimate with various parameters associated with reservoir quality, we observe that clay content (indicated by X-ray diffraction analysis of core samples and clay fraction estimated from gamma-ray logs) shows the strongest correlation with Sh, with higher Sh found in strata with the lowest clay fraction. Data from across the two target reservoirs indicate that clay content increasing from 6% to 14% corresponds with Sh decreasing from 85% to 30%. This same clay content range also corresponds with variation in NMR-log-derived intrinsic permeability from 1500 down to 6 mD. We observe that larger grain sizes are correlated with higher Sh, but overall, we observe less clear relationship between grain size and Sh.

Related

  1. Physical, chemical, and biological controls on algal dynamics in the Greenup Pool of the Ohio River
    Mindy Yeager-Armstead, Geneve Brady, Austin Hoffman
    PLOS OnePeer-reviewedCC BY 4.0Full textCell biologyPlant biologyPLOS
  2. Physical Aging, Composition, and Carbon-Additive Identity as Separable Rheological Controls in Colloidal-Cellulose Nanofibril-Natural-Rubber-Latex Hydrogels.
    Branko Alič, Urška Šebenik, Matjaž Krajnc
    Gels (Basel, Switzerland)Peer-reviewedCC BYFull textMaterials & polymersEurope PMC
  3. Terminal Acceptor-Substitution Controls Optoelectronic Properties in Triphenylamine Based Donors for Organic Solar Cells: A DFT Approach
    Dipanshu Ranjan Pattanayak, V N Ravi Kishore Vutukuri
    ChemRxivPreprintCC BYFull textGeneral chemistryChemRxiv
  4. Predicting sensory texture properties of cosmetic emulsions by physical measurements
    Laura Gilbert, Géraldine Savary, Michel Grisel +1
    Chemometrics and Intelligent Laboratory SystemsPeer-reviewedPublisher termsFull text164 citedAnalytical chemistryMaterials & polymersHAL
  5. Combined effects of wood flour and thermoplastic starch on the physical, thermal, and weight loss properties of polylactic acid biocomposites
    Ali Salimian Rizi, Seyed Mojtaba Zebarjad, Zahra Sherafat
    Scientific ReportsPeer-reviewedCC BY 4.0Full textMaterials & polymersCrossref
BibTeX
@article{haines2026characterizing,
  title = {{Characterizing Physical Properties and Controls on Gas Hydrate Saturation Using Borehole Log and Core Data at the Alaska North Slope Gas Hydrate Production Test Site}},
  author = {Seth S. Haines and Timothy S. Collett and William F. Waite and Stephen C. Phillips and Ray M. Boswell and Norihiro Okinaka and Yoshihiro Nakatsuka},
  journal = {Energy \& Fuels},
  year = {2026},
  month = sep,
  doi = {10.1021/acs.energyfuels.5c06085},
  url = {https://doi.org/10.1021/acs.energyfuels.5c06085},
  note = {CC BY-NC-ND},
}
RIS
TY  - JOUR
TI  - Characterizing Physical Properties and Controls on Gas Hydrate Saturation Using Borehole Log and Core Data at the Alaska North Slope Gas Hydrate Production Test Site
AU  - Seth S. Haines
AU  - Timothy S. Collett
AU  - William F. Waite
AU  - Stephen C. Phillips
AU  - Ray M. Boswell
AU  - Norihiro Okinaka
AU  - Yoshihiro Nakatsuka
PY  - 2026
DA  - 2026/09/08
JO  - Energy & Fuels
DO  - 10.1021/acs.energyfuels.5c06085
UR  - https://doi.org/10.1021/acs.energyfuels.5c06085
AB  - The JOGMEC-DOE-USGS Collaborative Gas Hydrate R&D Project in Alaska has acquired a wealth of geophysical data at the Kuparuk State 7-11-12 site on the Alaska North Slope to facilitate site characterization and interpretation of the 2023–2024 extended duration reservoir response gas production test data. We integrate borehole logging and core data to characterize the reservoirs and bounding layers, and to investigate geologic factors controlling gas hydrate saturation. Using borehole density logs and core-derived grain density information, we calculate formation porosity for the four gas hydrate wells at the site. In parallel, we develop a higher-resolution porosity model based on density data acquired on pressurized cores. We derive three independent gas hydrate saturation (Sh) estimates based on electrical resistivity and P-wave and S-wave sonic velocity (VP and VS, respectively) log data. These log-based estimates are consistent with one another, with direct measurements of Sh in pressure cores, and with estimates from nuclear magnetic resonance (NMR) logs. Linking our P-wave-derived Sh estimate with various parameters associated with reservoir quality, we observe that clay content (indicated by X-ray diffraction analysis of core samples and clay fraction estimated from gamma-ray logs) shows the strongest correlation with Sh, with higher Sh found in strata with the lowest clay fraction. Data from across the two target reservoirs indicate that clay content increasing from 6% to 14% corresponds with Sh decreasing from 85% to 30%. This same clay content range also corresponds with variation in NMR-log-derived intrinsic permeability from 1500 down to 6 mD. We observe that larger grain sizes are correlated with higher Sh, but overall, we observe less clear relationship between grain size and Sh.
SN  - 0887-0624
SN  - 1520-5029
ER  -