Results 231 to 240 of about 3,287,588 (278)

Automated stratigraphic interpretation of well‐log data

GEOPHYSICS, 1987
A computerized well‐log stratigraphic interpretation system based on artificial intelligence can be seen as two steps, contact recognition and interval identification. Unlike previous approaches to mathematical zonation which are essentially statistical, consideration of the geologic environment is included for effective interpretation.
Xuanzhi Wu, Edo Nyland
openaire   +1 more source

Preserving and Securing Legacy Well Log Data

Abu Dhabi International Petroleum Exhibition & Conference, 2017
Abstract Well logging is the process of recording various petrophysical, properties of rock/formations penetrated by drilling tools. Log responses are functions of lithology, porosity, fluid–content and textural variation of formation. This information coupled with characteristics of sedimentary structures derived from high resolution ...
Purohit Pankaj, Nuaimi Fatema Al, Kumar Pranav, Kumar Amit   +3 more
openaire   +1 more source

Data Blocking or Zoning: Well-Log-Data Application

Journal of Canadian Petroleum Technology, 2012
Summary Several statistical techniques have been introduced in zoning sequential data such as well-log data or blocking experimental data. In general, these techniques lack the ability to optimize the predicted zones as per the desired number of blocks or zones.
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Integrated Interpretation of Well Logging Data

2016
Well logging, has become in some ways the geologist’s eye––an eye that is imperfect and sometimes distorted but nevertheless not blind––and an instrument for the reservoir engineer, occupies a special place and plays an important role in petroleum research by the economies that they bring and the amount of information they contain.
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Consistency evaluation technology for automatic well-log correlation using well logging data

Neftyanoe khozyaystvo - Oil Industry, 2021
K.E. Zakrevskiy, R.K. Gazizov, E.A. Ryzhikov, K.V. Freydin   +3 more
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Regularity Analysis Applied to Well Log Data

2005
Well logs are largely used for oil exploration and production in order to obtain geological information of rocks. Several parameters of the rocks can be scanned and interpreted in term of lithology and of the quantity and kind of fluids within the pores. Generally the drilled rocks are mostly sedimentary and the modelling is mainly petrophysical.
Maurizio Fedi, Donato Fiore, Mauro La Manna   +2 more
openaire   +1 more source

Fracture parameter estimation from well-log data

GEOPHYSICS, 2013
We evaluated a method of deriving seismic fracture parameters from vertical-well-log data with the assumption that the fractured medium is transversely isotropic with a horizontal axis of symmetry (HTI). One approximation we used is that the observed vertical P-wave velocity is the same as the background isotropic P-wave velocity of the HTI medium ...
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Post Stack Wavelet Extraction Utilizing Well Log Data

Exploration Geophysics, 1987
This paper describes a practical method of deterministic post stack deconvolution utilizing well log data. The purpose of the deconvolution is to produce zero phase siesmic sections, and to condition the seismic data prior to conversion to pseudo-acoustic impedance logs.
C. R. T. Ramsden, M. R. Hobson
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Incorporating geological data in well log interpretation

Geological Society, London, Special Publications, 1990
Abstract A multi-step technique is presented that permits a variety of quantitative and qualitative geological data to be incorporated in the log interpretation process to derive a detailed lithological analysis. The geological data are used to develop and refine explicit tool response and interpretation models.
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Amplitude bound interpolation of sonic well-log data

International Conference on Acoustics, Speech, and Signal Processing, 2002
The problem of interpolating and resampling signals known to result from the application of a linear operator to signals whose minimum and maximum values are known is addressed. These limits are physically meaningful in many applications, and modeling the signals with the limits is preferable to modeling with the unrealistic energy bounds that are ...
D. Burnside, T.W. Parks
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