Japan Geoscience Union Meeting 2014

Presentation information

Oral

Symbol M (Multidisciplinary and Interdisciplinary) » M-IS Intersection

[M-IS22_29PM1] Gas hydrates in environmental-resource sciences

Tue. Apr 29, 2014 2:15 PM - 4:00 PM 213 (2F)

Convener:*Hitoshi Tomaru(Department of Earth Sciences, Chiba University), Akihiro Hachikubo(Environmental and Energy Resources Research Center, Kitami Institute of Technology), Sumito Morita(Institute for Geo-Resources and Environment, National Institute of Advanced Industrial Science and Technology), Chair:Akihiro Hachikubo(Environmental and Energy Resources Research Center, Kitami Institute of Technology), Hitoshi Tomaru(Department of Earth Sciences, Chiba University)

2:45 PM - 3:00 PM

[MIS22-03] Reservoir Characterization and geological modeling for methane hydrate-bearing sediments around the 1st Offshore Product

*Machiko TAMAKI1, Kiyofumi SUZUKI2, Tetsuya FUJII2, Akihiko SATO1 (1.Japan Oil Engineering Co., Ltd., 2.Japan Oil, Gas and Metals National Corporation)

The eastern Nankai trough is considered as an attractive potential resource of methane hydrates (MHs) and the first offshore production test was performed around the Atsumi-oki in 2013. The objective of this study is to conduct MHs reservoir characterization of methane hydrate (MH)-bearing turbidite sediments around the test site. The depositional environment of MH-bearing sediments around the production test site is a deep submarine-fan turbidite system (e.g., Takano et al., 2009). To evaluate MH dissociation and gas production performance, we require precise geological models that describe facies variations of turbidite sediments and their corresponding petrophysical properties. In this study, we performed MHs reservoir characterization integrated from well log, core and 3D seismic data, and the 3D geological models were constructed based on geostatistical approach.In accordance with the geological modeling workflow, (1) layering and gridding along the geological horizon and facies variations (framework modeling) and (2) defining internal properties (property modeling) were performed for the reservoir. Property modeling includes calculation of the distribution of facies and petrophysical properties such as hydrate saturation, porosity, and permeability, which are required as input to the reservoir flow simulation for predicting gas production performance.This study is a part of the program of the Research Consortium for Methane Hydrate Resource in Japan (MH21 Research Consortium).