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@article{Lindsay:2023:10.1144/SP527-2021-199,
author = {Lindsay, C and Braun, E and Berg, S and Krevor, S and Pols, R and Hill, J},
doi = {10.1144/SP527-2021-199},
pages = {43--58},
title = {Core analysis in a changing world – how technology is radically benefiting the methodology to acquire, the ability to visualize and the ultimate value of core data},
url = {http://dx.doi.org/10.1144/SP527-2021-199},
volume = {527},
year = {2023}
}
TY - JOUR
AB - Core analysts principally study the storage, flow and saturation properties of porous rocks and sed-iments. Some of the derived parameters are specific to hydrocarbon production but many have commonality with other subsurface disciplines such as hydrology and soil science. Traditional core analysis involves direct physical experimentation on core plugs to derive a range of parameters used as calibration for conventional well logs, and to predict hydrocarbon reserves and recovery. The mechanisms and processes for obtaining such data have evolved significantly during the last century, from the manual instruments of the mid-twentieth century to the accredited digital data collection and recording of the 1990s onwards. X-ray micro-and nano-scale computed tomography (CT) imaging led to the development of the digital rock physics subdiscipline in the early 2000s. This has subsequently allowed direct visualization of fluid flow at the pore scale, imaging the wetting phase and multiphase fluid mobility. Multiscale imaging workflows are being developed to overcome issues around heterogeneous rock and the limited field of view associated with the high-est resolution X-ray CT images. Hybrid workflows, which combine digital rock physics with traditional core analysis, are becoming increasingly common to meet the challenges associated with some of the most difficult to constrain properties, such as relative permeability. At a larger scale, the recent development of multisensor core logging (MSCL) tools has allowed the cost-effective acquisition of essentially continuous high-resolution 1D, 2D and 3D datasets from both slabbed and unslabbed whole core. Often aided by artificial intelligence to manage and interpret these large physical and chemical datasets, both new and legacy core can be rapidly screened to allow representative subsampling for detailed laboratory experimentation. The context and data provided by the MSCL then allows effective upscaling of these time-and cost-int
AU - Lindsay,C
AU - Braun,E
AU - Berg,S
AU - Krevor,S
AU - Pols,R
AU - Hill,J
DO - 10.1144/SP527-2021-199
EP - 58
PY - 2023///
SN - 0305-8719
SP - 43
TI - Core analysis in a changing world – how technology is radically benefiting the methodology to acquire, the ability to visualize and the ultimate value of core data
UR - http://dx.doi.org/10.1144/SP527-2021-199
VL - 527
ER -