Continuous depth profile of the rock strength in the Nankai accretionary prism based on drilling performance parameters View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Yohei Hamada, Manami Kitamura, Yasuhiro Yamada, Yoshinori Sanada, Takamitsu Sugihara, Saneatsu Saito, Kyaw Moe, Takehiro Hirose

ABSTRACT

A new method for evaluating the in situ rock strength beneath the seafloor is proposed and applied to the Nankai Trough accretionary prism. The depth-continuous in situ rock strength is a critical parameter for numerous studies in earth science, particularly for seismology and tectonics at plate convergence zones; yet, measurements are limited owing to a lack of drilled cores. Here, we propose a new indicator of strength, the equivalent strength (EST), which is determined only by drilling performance parameters such as drill string rotational torque, bit depth, and string rotational speed. A continuous depth profile of EST was drawn from 0 to 3000 m below the seafloor (mbsf) across the forearc basin and accretionary prism in the Nankai Trough. The EST did not show a significant increase around the forearc basin-accretionary prism boundary, but it did show a clear increase within the prism, ca. below 1500 mbsf. This result may indicate that even the shallow accretionary prism has been strengthened by horizontal compression derived from plate subduction. The EST is a potential parameter to continuously evaluate the in situ rock strength during drilling, and its accuracy of the absolute value can be improved by combining with laboratory drilling experiments. More... »

PAGES

2622

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-018-20870-8

DOI

http://dx.doi.org/10.1038/s41598-018-20870-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1100796062

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29445141


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Download the RDF metadata as:  json-ld nt turtle xml License info

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RDF/XML is a standard XML format for linked data.

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