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Permeability Determination From Well Log Data
SPE Formation Evaluation, 1997Summary We discuss and compare three different approaches for permeability determination from logs from a practical point of view. The three methods, empirical, statistical, and the recently introduced "virtual measurement," make use of empirically determined models, multiple variable regression, and artificial neural networks ...
Shahab Mohaghegh +2 more
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3D data volumes from well logs
SEG Technical Program Expanded Abstracts 2007, 2007One of the perennial problems in exploration is putting well information into a form where it can be easily related to seismic data. This paper describes a technique for generating data volumes of rock properties in SEG Y format from well logs. These volumes are compatible with all standard seismic interpretation systems, and can be used by the ...
L. R. Denham, H. Roice Nelson
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Reservoir Delineation With VSP and Well Log Data
Proceedings of Middle East Oil Show, 1987ABSTRACT A prospective Mishrif reef defined by surface seismic data was drilled, but the predicted porosity was not encountered. Acquisition and study of vertical seismic profile (VSP) data including complex trace attribute processing and waveform modelling, indicated that higher reefal porosity was developed farther updip.
D. L. Rodrick, C. K. Poster
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Quantative Interpretation Of Seismic Data Using Well Logs
SPE Annual Fall Technical Conference and Exhibition, 1978Abstract Seismic and petrophysical data sets are processed to acoustic impedance. The petrophysical processing is divided into three phases. The first involves the preparation of a depth-sampled acoustic-impedance log corrected for environmental effects.
E.C.A. Gevers, S.W. Watson
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Nonlinear estimation of missing logs from existing well log data
SEG Technical Program Expanded Abstracts 2001, 2001Estimation of petrophysical properties of rocks from well log data plays a very important role in reservoir characterization and simulation. However, it is very common for petrophysicists to face the problem that well log data sets are not available or complete.
Rafael Banchs +2 more
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Neural Network Interpretation Of Em39 Well Log Data
10th EEGS Symposium on the Application of Geophysics to Engineering and Environmental Problems, 1997We used a Modular Neural Network(MNN) to invert well logging curves from a Geonics EM39 induction logger In the interpretation scheme, there are several subsets of networks that depend on the relative resistivities of adjacent layers, e.g. Rl>R2, Rl R3, etc.
Lin Zhang, Mary M. Poulton
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Synthesis of Seismograms from Well Log Data
The Journal of the Acoustical Society of America, 1955Under certain highly simplified but realistic physical assumptions, the basic data from continuous velocity surveys in wells can be made to simulate the variations in acoustic impedance in the ground which give rise to seismic reflections. An electro-optical analog device is described which makes use of the basic well data to produce synthetic seismic ...
C. A. Swartz +2 more
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Permeability Determination from Well Logs and Core Data
Permian Basin Oil and Gas Recovery Conference, 1994ABSTRACT This paper discusses a methodology for accurately estimating permeability from well log devices, with commonly available core and log data. Core permeability and porosity data are used to identify three or four different hydraulic zones (HZ's) with unique pore structures.
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Automated stratigraphic interpretation of well‐log data
GEOPHYSICS, 1987A 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
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Preserving and Securing Legacy Well Log Data
Abu Dhabi International Petroleum Exhibition & Conference, 2017Abstract 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 +3 more
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