TY - JOUR
T1 - A predictive model for the wettability of chalk
AU - Nourani, Meysam
AU - Schovsbo, Niels Hemmingsen
AU - Jahanbani Ghahfarokhi, Ashkan
AU - Nielsen, Carsten Møller
AU - Sigalas, Lykourgos
AU - Meyer, Aurelien Gabriel
AU - Olsen, Dan
AU - Stemmerik, Lars
N1 - Funding Information:
The authors are grateful for the financial support by the Centre for Oil and Gas-DTU/Danish Hydrocarbon Research and Technology Centre (DHRTC). We are also thankful to the Department of Reservoir Geology at the Geological Survey of Denmark and Greenland (GEUS) and the Department of Geoscience and Petroleum at Norwegian University of Science and Technology (NTNU). Mads Engberg Willumsen and Niels Springer are acknowledged for their constructive comments, recommendations and support.
Funding Information:
Open Access funding provided by NTNU Norwegian University of Science and Technology (incl St. Olavs Hospital - Trondheim University Hospital). This study was funded by the Centre for Oil and Gas-DTU/Danish Hydrocarbon Research and Technology Centre (DHRTC).
Publisher Copyright:
© 2020, The Author(s).
PY - 2020/10
Y1 - 2020/10
N2 - Wettability is usually measured in special core analyses of limited plug samples according to typically costly and time-consuming procedures. For comparative purposes, wettability is considered an index. The two most frequently used wettability indices are the Amott–Harvey wettability index and the U.S. Bureau of Mines (USBM) index. The Amott–Harvey wettability index is linked to imbibition characteristics and the USBM index is associated with the area under capillary pressure curves. To provide a fast analytical method, a mathematical model for predicting the wettability of chalk is presented. The model is calibrated using experimental wettability data and subsequently applied to two wells in Danish chalk oil fields in the North Sea and to outcrop chalk samples. The model supplements traditional labor-intensive laboratory measurements and predicts water wettability variations with depth by modeling both depth and porosity dependencies; in addition, it provides estimates of the effects of the aging time and displacement temperature of chalk wettability measurements in the laboratory.
AB - Wettability is usually measured in special core analyses of limited plug samples according to typically costly and time-consuming procedures. For comparative purposes, wettability is considered an index. The two most frequently used wettability indices are the Amott–Harvey wettability index and the U.S. Bureau of Mines (USBM) index. The Amott–Harvey wettability index is linked to imbibition characteristics and the USBM index is associated with the area under capillary pressure curves. To provide a fast analytical method, a mathematical model for predicting the wettability of chalk is presented. The model is calibrated using experimental wettability data and subsequently applied to two wells in Danish chalk oil fields in the North Sea and to outcrop chalk samples. The model supplements traditional labor-intensive laboratory measurements and predicts water wettability variations with depth by modeling both depth and porosity dependencies; in addition, it provides estimates of the effects of the aging time and displacement temperature of chalk wettability measurements in the laboratory.
KW - Aging time
KW - Chalk
KW - Displacement temperature
KW - Porosity
KW - Wettability
UR - http://www.scopus.com/inward/record.url?scp=85100766574&partnerID=8YFLogxK
U2 - 10.1007/s42452-020-03438-y
DO - 10.1007/s42452-020-03438-y
M3 - Article
AN - SCOPUS:85100766574
SN - 2523-3971
VL - 2
JO - SN Applied Sciences
JF - SN Applied Sciences
IS - 10
M1 - 1644
ER -