Research output: Contribution to journal › Article › peer-review
Dtw based automated seismic–well tie. / Butorin, A. V.; Sevostyanov, A. I.; Stulikov, S. K.; Timirgalin, A. A.
In: Neftyanoe khozyaystvo - Oil Industry, Vol. 2019, No. 12, 2019, p. 30-32.Research output: Contribution to journal › Article › peer-review
}
TY - JOUR
T1 - Dtw based automated seismic–well tie
AU - Butorin, A. V.
AU - Sevostyanov, A. I.
AU - Stulikov, S. K.
AU - Timirgalin, A. A.
N1 - Publisher Copyright: © 2019, Neftyanoe Khozyaistvo. All rights reserved.
PY - 2019
Y1 - 2019
N2 - One of the key priorities of the Gazprom Neft Company is routine processes optimization. Nowadays, manual seismic-well tying feature is embedded in most of oil and gas engineers’ tools, but it is still time consuming task to fit two signals especially with no subjective assessments. At the same time there are a plenty of successful cases of application signals comparing and processing algorithms in a real world tasks such as voice recognition. Method, described in this article, helps to fit synthetic trace, calculated by reflection coefficient and theoretical signal convolution, to seismic trace in a semi-automatic mode. Dynamic Time Warping, which is the base of proposed approach, has been applied to temporal sequences of video, audio, and graphics data — indeed, any data that can be turned into a linear sequence can be analyzed with DTW. Using this algorithm in a pure form helps to obtain perfect fitting of the seismic and well signals in terms of Pearson's correlation coefficient, but at the same time leads to unrealistic time-depth dependency and infinite interval velocity. Considering this, the idea behind proposed in this paper approach includes number of restrictions, which not allows algorithm to fit signals perfectly, but makes the final results more geologically justified. The resulting algorithm was tested on a model data as well as on a real world data.
AB - One of the key priorities of the Gazprom Neft Company is routine processes optimization. Nowadays, manual seismic-well tying feature is embedded in most of oil and gas engineers’ tools, but it is still time consuming task to fit two signals especially with no subjective assessments. At the same time there are a plenty of successful cases of application signals comparing and processing algorithms in a real world tasks such as voice recognition. Method, described in this article, helps to fit synthetic trace, calculated by reflection coefficient and theoretical signal convolution, to seismic trace in a semi-automatic mode. Dynamic Time Warping, which is the base of proposed approach, has been applied to temporal sequences of video, audio, and graphics data — indeed, any data that can be turned into a linear sequence can be analyzed with DTW. Using this algorithm in a pure form helps to obtain perfect fitting of the seismic and well signals in terms of Pearson's correlation coefficient, but at the same time leads to unrealistic time-depth dependency and infinite interval velocity. Considering this, the idea behind proposed in this paper approach includes number of restrictions, which not allows algorithm to fit signals perfectly, but makes the final results more geologically justified. The resulting algorithm was tested on a model data as well as on a real world data.
KW - Dynamic Time Warping (DTW) algorithm
KW - L2-norm
KW - Seismic
KW - Sequence
KW - Synthetic trace
KW - Tying
KW - Wavelet
UR - http://www.scopus.com/inward/record.url?scp=85077368171&partnerID=8YFLogxK
U2 - 10.24887/0028-2448-2019-12-30-32
DO - 10.24887/0028-2448-2019-12-30-32
M3 - Article
AN - SCOPUS:85077368171
VL - 2019
SP - 30
EP - 32
JO - НЕФТЯНОЕ ХОЗЯЙСТВО
JF - НЕФТЯНОЕ ХОЗЯЙСТВО
SN - 0028-2448
IS - 12
ER -
ID: 88695282