Affiliation:
1. Energy Process Research Institute National Institute of Advanced Industrial Science and Technology (AIST) Tsukuba Japan
2. Energy Process Research Institute National Institute of Advanced Industrial Science and Technology (AIST) Sapporo Japan
3. Technology Department Japan Oil, Gas and Metals National Corporation (JOGMEC) Chiba Japan
4. Methane Hydrate Research and Development Group Japan Oil, Gas and Metals National Corporation (JOGMEC) Chiba Japan
5. Now at Energy Process Research Institute National Institute of Advanced Industrial Science and Technology (AIST) Tsukuba Japan
Abstract
AbstractThe thermal properties of methane hydrate (MH)‐bearing sediments are necessary for developing gas production technologies (e.g., gas production rate prediction). The direct thermal property measurement of a general MH reservoir is difficult because it demands an advanced coring and measuring technology. Therefore, a good thermal property value estimation model for a system containing sediment grains, water, MH, and gas is necessary. In 2018, the pressure core samples were recovered from the AT‐CW1 and AT‐CW2 wells in Nankai Trough of Japan. Using a single‐sided transient plane source method, we measure herein the thermal property values of those core samples and estimate their thermal conductivity by improving existing models. The measured thermal conductivity (λ), specific heat (ρCp), and thermal diffusivity (α) of the MH‐bearing sediments before and after MH dissociation are obtained. The de Vries model agrees well with the measured thermal conductivity values before and after the MH dissociation. For the random distribution (geometric mean) model, the difference between the estimation values and the data after the MH dissociation increases as the gas saturation Sg′ increases. In the worst case, the distribution model shows an 87.6% error, while the de Vries model yields 5.2% of the same. We propose and use an estimation method of the thermal property values in an MH reservoir, which requires classical thermophysical models and well log data. The in‐situ thermal property values can be estimated when the log data are highly accurate.
Funder
Ministry of Economy, Trade and Industry
Publisher
American Geophysical Union (AGU)
Subject
General Earth and Planetary Sciences,Environmental Science (miscellaneous)
Cited by
2 articles.
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