Quantification of errors in well-trace positions and uncertain measurements for improvement of subsurface imaging

Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt

Standard

Quantification of errors in well-trace positions and uncertain measurements for improvement of subsurface imaging. / Fernandes, I.; Mosegaard, K.

2019. Paper præsenteret ved 1st EAGE Subsurface Intelligence Workshop 2019, Manama, Bahrain.

Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt

Harvard

Fernandes, I & Mosegaard, K 2019, 'Quantification of errors in well-trace positions and uncertain measurements for improvement of subsurface imaging', Paper fremlagt ved 1st EAGE Subsurface Intelligence Workshop 2019, Manama, Bahrain, 09/12/2019 - 10/12/2019.

APA

Fernandes, I., & Mosegaard, K. (2019). Quantification of errors in well-trace positions and uncertain measurements for improvement of subsurface imaging. Paper præsenteret ved 1st EAGE Subsurface Intelligence Workshop 2019, Manama, Bahrain.

Vancouver

Fernandes I, Mosegaard K. Quantification of errors in well-trace positions and uncertain measurements for improvement of subsurface imaging. 2019. Paper præsenteret ved 1st EAGE Subsurface Intelligence Workshop 2019, Manama, Bahrain.

Author

Fernandes, I. ; Mosegaard, K. / Quantification of errors in well-trace positions and uncertain measurements for improvement of subsurface imaging. Paper præsenteret ved 1st EAGE Subsurface Intelligence Workshop 2019, Manama, Bahrain.

Bibtex

@conference{4aa54647909d473b800ba53dbe65e436,
title = "Quantification of errors in well-trace positions and uncertain measurements for improvement of subsurface imaging",
abstract = "In order to perform seismic inversion and have information about the subsurface, horizontal well-log data is normally used as constraints. These data contain very detailed information on a short scale. However, since the next step in the geo-steering of a borehole always depends on the previous one, the location errors accumulate and, as the drilling acquisition goes further and deeper, the uncertainty of the position and hence the borehole measurements also grows. To image the subsurface and estimate the errors involved in the data analysis process, we perform seismic inversion combining different sources of uncertain measurements, such as uncertain seismic data as well as uncertain well positions and well-log data. This paper presents a new method to incorporate these different sources of uncertainties and on different scales. We simulated various realizations of the subsurface and, taking into account the growing uncertain position of the well location, we could observe the variability that the errors create. As a result, the computed subsurface model and its error estimates are more realistic, and can better guide and optimise future drilling operations.",
author = "I. Fernandes and K. Mosegaard",
year = "2019",
language = "English",
note = "1st EAGE Subsurface Intelligence Workshop 2019 ; Conference date: 09-12-2019 Through 10-12-2019",

}

RIS

TY - CONF

T1 - Quantification of errors in well-trace positions and uncertain measurements for improvement of subsurface imaging

AU - Fernandes, I.

AU - Mosegaard, K.

PY - 2019

Y1 - 2019

N2 - In order to perform seismic inversion and have information about the subsurface, horizontal well-log data is normally used as constraints. These data contain very detailed information on a short scale. However, since the next step in the geo-steering of a borehole always depends on the previous one, the location errors accumulate and, as the drilling acquisition goes further and deeper, the uncertainty of the position and hence the borehole measurements also grows. To image the subsurface and estimate the errors involved in the data analysis process, we perform seismic inversion combining different sources of uncertain measurements, such as uncertain seismic data as well as uncertain well positions and well-log data. This paper presents a new method to incorporate these different sources of uncertainties and on different scales. We simulated various realizations of the subsurface and, taking into account the growing uncertain position of the well location, we could observe the variability that the errors create. As a result, the computed subsurface model and its error estimates are more realistic, and can better guide and optimise future drilling operations.

AB - In order to perform seismic inversion and have information about the subsurface, horizontal well-log data is normally used as constraints. These data contain very detailed information on a short scale. However, since the next step in the geo-steering of a borehole always depends on the previous one, the location errors accumulate and, as the drilling acquisition goes further and deeper, the uncertainty of the position and hence the borehole measurements also grows. To image the subsurface and estimate the errors involved in the data analysis process, we perform seismic inversion combining different sources of uncertain measurements, such as uncertain seismic data as well as uncertain well positions and well-log data. This paper presents a new method to incorporate these different sources of uncertainties and on different scales. We simulated various realizations of the subsurface and, taking into account the growing uncertain position of the well location, we could observe the variability that the errors create. As a result, the computed subsurface model and its error estimates are more realistic, and can better guide and optimise future drilling operations.

UR - http://www.scopus.com/inward/record.url?scp=85088600142&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:85088600142

T2 - 1st EAGE Subsurface Intelligence Workshop 2019

Y2 - 9 December 2019 through 10 December 2019

ER -

ID: 261063465