Errors in positioning of borehole measurements and how they influence seismic inversion

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Errors in positioning of borehole measurements and how they influence seismic inversion. / Fernandes, Iris; Mosegaard, Klaus.

In: Geophysical Prospecting, Vol. 70, No. 8, 12.07.2022, p. 1338-1345.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Fernandes, I & Mosegaard, K 2022, 'Errors in positioning of borehole measurements and how they influence seismic inversion', Geophysical Prospecting, vol. 70, no. 8, pp. 1338-1345. https://doi.org/10.1111/1365-2478.13243

APA

Fernandes, I., & Mosegaard, K. (2022). Errors in positioning of borehole measurements and how they influence seismic inversion. Geophysical Prospecting, 70(8), 1338-1345. https://doi.org/10.1111/1365-2478.13243

Vancouver

Fernandes I, Mosegaard K. Errors in positioning of borehole measurements and how they influence seismic inversion. Geophysical Prospecting. 2022 Jul 12;70(8):1338-1345. https://doi.org/10.1111/1365-2478.13243

Author

Fernandes, Iris ; Mosegaard, Klaus. / Errors in positioning of borehole measurements and how they influence seismic inversion. In: Geophysical Prospecting. 2022 ; Vol. 70, No. 8. pp. 1338-1345.

Bibtex

@article{983e5dd977f44d888ccebdb49c9f96e6,
title = "Errors in positioning of borehole measurements and how they influence seismic inversion",
abstract = "Inversion of seismic data using information from horizontal wells is often hampered by cumulative well-location errors. These errors can have a significant influence on the final subsurface model derived from the data. To achieve a proper data integration and arrive at correct uncertainty estimates, we formulate the problem in a fully probabilistic framework and present a numerical approach for improving subsurface imaging using uncertain well-log data and their uncertain locations as well as uncertain seismic data. The result is improved model error quantification in the seismic inversion process.",
keywords = "imaging, inverse problem, uncertainty quantification, modelling, seismic",
author = "Iris Fernandes and Klaus Mosegaard",
year = "2022",
month = jul,
day = "12",
doi = "10.1111/1365-2478.13243",
language = "English",
volume = "70",
pages = "1338--1345",
journal = "Geophysical Prospecting",
issn = "0016-8025",
publisher = "Wiley-Blackwell",
number = "8",

}

RIS

TY - JOUR

T1 - Errors in positioning of borehole measurements and how they influence seismic inversion

AU - Fernandes, Iris

AU - Mosegaard, Klaus

PY - 2022/7/12

Y1 - 2022/7/12

N2 - Inversion of seismic data using information from horizontal wells is often hampered by cumulative well-location errors. These errors can have a significant influence on the final subsurface model derived from the data. To achieve a proper data integration and arrive at correct uncertainty estimates, we formulate the problem in a fully probabilistic framework and present a numerical approach for improving subsurface imaging using uncertain well-log data and their uncertain locations as well as uncertain seismic data. The result is improved model error quantification in the seismic inversion process.

AB - Inversion of seismic data using information from horizontal wells is often hampered by cumulative well-location errors. These errors can have a significant influence on the final subsurface model derived from the data. To achieve a proper data integration and arrive at correct uncertainty estimates, we formulate the problem in a fully probabilistic framework and present a numerical approach for improving subsurface imaging using uncertain well-log data and their uncertain locations as well as uncertain seismic data. The result is improved model error quantification in the seismic inversion process.

KW - imaging

KW - inverse problem

KW - uncertainty quantification

KW - modelling

KW - seismic

U2 - 10.1111/1365-2478.13243

DO - 10.1111/1365-2478.13243

M3 - Journal article

VL - 70

SP - 1338

EP - 1345

JO - Geophysical Prospecting

JF - Geophysical Prospecting

SN - 0016-8025

IS - 8

ER -

ID: 317087409