Long-Term Microbial DNA-Based Monitoring of the Mature Sarukawa Oil Field in Japan

Kobayashi, Hajime; Goto, Ayae; Feng, Xiang; Uruma, K.; Momoi, Yuki; Watanabe, Shunichi; Satô, Kôzô; Zhang, Yuran; Horne, Roland N.; Shibuya, T.; Okano, Yoshiyuki

doi:10.2118/214313-pa

Cited by 2 publications

(1 citation statement)

References 23 publications

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“…The candidates for the genetic area in the bacteria are those genes that code for the 5S, 16S and the 23S rRNA, in addition to the spaces between genes. The 16S rRNA gene is amongst the most commonly used for taxonomic purposes for bacteria, and the 16S rRNA can be compared to not only bacteria, but also in connection with archeobacteria and eucaryotes [11].…”

Section: Microbial Sequencingmentioning

confidence: 99%

AI-driven microbial sequencing analysis for hydrogen storage in the Maari reservoir

Katterbauer,

Qasim,

Shehri

et al. 2023

Preprint

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Hydrogen storage in subsurface reservoirs has been of great interest in order to overcome seasonal demand and supply discrepancies. Hydrogen is a good energy carrier, whose combustion process solely leads to energy and water as output and can be utilized as an energy storage carrier. Hydrogen’s high energy density can be very beneficial as a reactant for several chemical processes. Given the growing utilization of hydrogen for supporting the energy transition, hydrogen can be stored in various ways, such as metal tanks and in underground subsurface environments. Furthermore, hydrogen may be stored in the form of a mixture of natural gas, materials and in deep geological structures. Underground natural gas storage has been conducted for a long time in porous rock formations and salt caverns and given the massive amounts of hydrogen that have to be stored, subsurface hydrogen storage has been of significant interest. Given the limited experience for underground hydrogen storage and most of the hydrogen storage experience has been in salt caverns. We have developed a data-driven framework for the analysis of microbial effects on subsurface hydrogen storage. The framework integrates 16S rRNA sequencing data from subsurface hydrogen storage sites to analyze their composition and deduce potential effects on the hydrogen productivity from the reservoir. The framework was evaluated on a simulated Maari subsurface hydrogen storage and exhibited strong classification performance and prediction of estimated hydrogen recovery from the subsurface environment.

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Section: Microbial Sequencingmentioning

confidence: 99%

AI-driven microbial sequencing analysis for hydrogen storage in the Maari reservoir

Katterbauer,

Qasim,

Shehri

et al. 2023

Preprint

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First Nanoparticle-Based EOR Project in Japan : Field Pilot Test

Kumasaka,

Kaito,

Goto

et al. 2024

SPE Improved Oil Recovery Conference

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Nanoparticle-based enhanced oil recovery (Nano-EOR) is an improved waterflooding assisted by nanoparticles dispersed in injection water (nanofluid). Although Nano-EOR has been revealed to become a promising technique from many laboratory experiments, field applications are still limited. This paper discusses the first Nano-EOR field pilot tests for the Sarukawa oil field in Japan. The field pilot tests were divided into two stages: short-term injection test and long-term inter-well test. The short-term injection test was performed mainly to investigate the effects of nanofluid on the well injectivity. Nanofluid was injected into an existing water injection line by an air-driven liquid pump at a concentration of 0.5 wt. % which was optimized in the series of our study. The result of the short-term injection test showed that the nanoparticles used in this study can be injected into the target formation without any damage when the concentration is properly controlled. For the long-term inter-well test, 0.5 wt. % nanofluid was injected into the injection well for two months to validate the increase in oil production. The production behavior was monitored frequently and compared to the reference decline curve. Inductively coupled plasma optical emission spectroscopy (ICP-OES) analysis of the production fluid was also performed to detect the breakthrough of the injected nanoparticles. Although nanoparticles were not detected in the producer well, the oil production rate showed a positive deviation from the estimated baseline decline curve, suggesting an increase in oil production due to the nanoparticles injected from the injector. This paper has made a comprehensive discussion and summary of the challenges based on the current status of the long-term inter-well test. This study established a simple pilot scheme for Nano-EOR and this will contribute to the upcoming Nano-EOR projects.

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Long-Term Microbial DNA-Based Monitoring of the Mature Sarukawa Oil Field in Japan

Cited by 2 publications

References 23 publications

AI-driven microbial sequencing analysis for hydrogen storage in the Maari reservoir

AI-driven microbial sequencing analysis for hydrogen storage in the Maari reservoir

First Nanoparticle-Based EOR Project in Japan : Field Pilot Test

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