... that users can work interactively with whole groups that span the entire survey, rather than with individual picks. This allows the user to stay in control of the outcome, while delegating much of the tedious labor to the UML algorithm. artificial intelligence projection processor geologist...

... are transformed into PCA holds similar value for extracting meaningful their principal components, a back projection yields signatures from pre-stack seismic data. By considering the structural-specific images of the subsurface main building pre-stack data as a set of individual observations, PCA blocks. Our...

... A pilot project consisting of depth model building and depth migration was performed in 2018 for the Tengiz field onshore Kazakhstan. The pilot focused on image improvement of a subset of the 2009 3D survey where several unresolved geophysical challenges and imaging uncertainties have persisted...

... ABSTRACT We propose wavelet-based data reconstruction to interpolate land data with large dynamic range without amplitude processing or windowing. We test two approaches using compressive sampling to recover full unaliased data: sparsity promoting reconstruction by minimization and projection...

... body seg international exposition projection traveltime seismic tomography frequency amplitude similarity university reservoir characterization coefficient annual meeting tomogram Bording , R. P. , A. Gersztenkorn , L. R. Lines , J. A. Scales , and S...

... geometrical spreading is derived. Presentation Date: Tuesday, September 26, 2017 Start Time: 4:45 PM Location: 360D Presentation Type: ORAL equation approximation upstream oil & gas seg seg international exposition reservoir characterization projection geophysics orthorhombic media...

... projections. This system allows us to reconstruct all components of the 3D strain tensor at any given location along the fiber. Using the con- dition number of the matrix product of the averaging and projection matrices, we can systematically search for the optimum design parameters for our configura- tion...

... samuel brown upstream oil & gas bound-constrained tomography artificial intelligence reflection tomography projection annual meeting velocity update constraint Bertsekas , D. P. , 1996 , Constrained optimization and Lagrange multiplier methods : Athena Scientific . Li...

... singularity subscript projection artificial intelligence Some pitfalls in orthorhombic parameter estimation Paul J. Fowler*, Schlumberger Summary Algorithms for seismic parameter estimation in orthorhombic media can face several pitfalls. I address two such pitfalls here, related to finding...

... by differencing adjacent geophones; and 2) from magnetometer recordings in the SERPENT CSEM ocean-bottom survey by extrapolating from the deviations in magnetic field projections on the magnetometer components. Introduction Rigid bodies in a three dimensional world have six degrees of freedom: three...

... to a fast wave mode separation. When compared with divergence and curl operators, projection directions implied by our operators are closer to exact polarization vectors. As a result, better suppressions of crosstalk energy leakage are achieved. Synthetic results validate the effectiveness and efficiency...

... the style of thresholding to be controlled by a single parameter. We find that soft thresholding combined with a debiasing step provides improved results over hard thresholding in both marine and land datasets. Introduction Projection Onto Convex Sets (POCS) is an iterative optimization technique...

... Summary According to the compressive sensing (CS) theory in the signal-processing field, we proposed a new seismic data reconstruction approach based on a fast projection onto convex sets (POCS) algorithm with sparsity constraint in the seislet transform domain. The FPOCS can obtain much...

... interpolation artificial intelligence projection shijiazhuang university geophysics sparse transform Summary Sparsity-promoted seismic interpolation method is the mainstream of interpolation methods. However, most sparsity-promoted methods are target at high signal-tonoise ratio data and can...

... 4D), this survey geometry was then replicated in 2010 to obtain a 4D time lapse dataset. The complex has over 90 well penetrations 10 of which were used as inputs to the rock physics inversion modeling portion of the project. Figure 1: Okume Complex Field description and geologic setting...

... & gas tomography projection mpcig reservoir characterization velocity analysis constant dip-angle projection moveout information velocity model equation migration velocity analysis non-specular direction inversion tomography system correct velocity multidip tomography formulation...

...-seismic data doa srv concave hull reservoir characterization projection new algorithm triangle Unconventional micro-seismicity based enhanced 3D SRV estimator using advanced parameter-free concave methodology Baidurja Ray*, Avi Lin, and Jianfu Ma, Halliburton Summary Convex hulls are used...

...Making f -x projection filters robust to erratic noise Ke Chen and Mauricio D. Sacchi, University of Alberta SUMMARY Linear prediction filters are efficient for reducing random seis- mic noise but not for removing erratic noise. We propose a robust f -x projection filtering scheme for simultaneous...

..., but they can occasionally have difficulties when material parameters are strongly variable, and also need to be adjusted in isotropic regions to prevent spurious artificial shear-wave modes. We describe a simple projection method to allow using zero shear wavespeeds in isotropic and elliptic subregions. We...

... Summary Extended Elastic Impedance (EEI) has proved to be a convenient framework for relating petrophysical properties from well logs directly to projections of prestack seismic reflectivity volumes. One common approach to this analysis involves sweeping through a range of projection angles...