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Dive into the research topics where Ruarri J. Day-Stirrat is active.

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Featured researches published by Ruarri J. Day-Stirrat.


Petroleum Geoscience | 2017

Softening of organic matter in shales at reservoir temperatures

Simon Emmanuel; Moshe Eliyahu; Ruarri J. Day-Stirrat; Ronny Hofmann; Calum I. Macaulay

The elastic modulus of organic matter can strongly influence the mechanical behaviour of source rocks. Although recent advances have shed crucial light on the mechanical properties of natural organic matter under ambient conditions, the elastic properties of kerogen and bitumen at reservoir temperatures remain poorly constrained. In this paper, we use a novel atomic force microscope technique to measure the changes to organic matter during the heating of an organic-rich shale. Our measurements show that bitumen becomes more compliant with heating and in an experiment during which the temperature was increased from 25 to 225°C, the reduced elastic modulus dropped from 6.3 to 0.8 GPa. In contrast to bitumen, we were unable to discern any significant changes to the elastic modulus of kerogen with increasing temperature. Our results suggest that the temperature dependence of the elastic properties could be used as an additional method to differentiate between bitumen and kerogen in shales. Moreover, our analysis indicates that temperature should be taken into account when modelling the elastic properties of bitumen under reservoir conditions.


EAGE Shale Workshop 2010 | 2010

Experimentally-Derived Mechanical and Flow Properties of Mudstones

Jean L. Schneider; C.S. Peets; Peter B. Flemings; Ruarri J. Day-Stirrat; John T. Germaine

We developed a systematic approach to predict mudstone compressibility and permeability as a function of composition. We prepared mixtures of natural Boston Blue Clay (BBC) and synthetic silt in four different proportions and resedimented these mixtures. From uniaxial consolidation tests we show that compressibility and permeability vary systematically with silt fraction. Compressibility linearly decreases with increasing silt fraction whereas permeability exponentially increases with increasing silt fraction. Normalizing the flow behavior by using effective void ratio allows the ability to predict permeability if porosity and composition are known.


Marine and Petroleum Geology | 2015

Mechanical properties of organic matter in shales mapped at the nanometer scale

Moshe Eliyahu; Simon Emmanuel; Ruarri J. Day-Stirrat; Calum I. Macaulay


Marine and Petroleum Geology | 2016

Impact of thermal maturation on nano-scale elastic properties of organic matter in shales

Simon Emmanuel; Moshe Eliyahu; Ruarri J. Day-Stirrat; Ronny Hofmann; Calum I. Macaulay


Reviews in Mineralogy & Geochemistry | 2015

Effects of Coupled Chemo-Mechanical Processes on the Evolution of Pore-Size Distributions in Geological Media

Simon Emmanuel; Lawrence M. Anovitz; Ruarri J. Day-Stirrat


Marine and Petroleum Geology | 2017

Effect of image segmentation & voxel size on micro-CT computed effective transport & elastic properties

Nishank Saxena; Ronny Hofmann; Faruk O. Alpak; Jesse Dietderich; Sander Hunter; Ruarri J. Day-Stirrat


Archive | 2010

The fabric and compaction of mudstones in the Gulf of Mexico

Ruarri J. Day-Stirrat; Peter B. Flemings; Andrew C. Aplin; Anja M. Schleicher


Geophysics | 2018

Computation of effective elastic properties of clay from X-ray texture goniometry data

Laurent Louis; Ruarri J. Day-Stirrat; Ronny Hofmann; Nishank Saxena; Anja M. Schleicher


Archive | 2010

Experimentally derived model to predict permeability behavior of mudstones

Jean L. Schneider; Peter B. Flemings; Ruarri J. Day-Stirrat; John T. Germaine


Archive | 2009

The fabric of Mass Transport Deposits in the Ursa Basin, Gulf of Mexico

Ruarri J. Day-Stirrat; Peter B. Flemings; H. E. Strong; Jean L. Schneider; Derek E. Sawyer; Anja M. Schleicher; John T. Germaine

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Simon Emmanuel

Hebrew University of Jerusalem

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Peter B. Flemings

University of Texas at Austin

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Moshe Eliyahu

Hebrew University of Jerusalem

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John T. Germaine

Massachusetts Institute of Technology

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Lawrence M. Anovitz

Oak Ridge National Laboratory

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