... from an irregular-grid onto a regular grid. An interpolation operator is used to link irregular-grid acquisition with the regular-grid output. A fast and computational-efficient multidimensional singular spectrum analysis (FMSSA) is adopted as the projection operator to speed up the low-rank step...

... association expanded abstract upstream oil & gas reservoir characterization figure 2 acquisition information figure 3 exploration geophysicist nyquist budget applied geoscience grid srf society rose diagram figure 1 energy 10 Irregular acquisition design to maximize information: From...

... We present a new geostatistical methodology of building reservoir models using process-based models as training data. The reservoir models are built in the depositional time-domain (k-layer) which allows for the construction of non-Cartesian grids that can readily capture thin flow baffles...

... and azimuth trends. Then, fracture intensity logs are created and utilized in the structural grid to populate different properties. Several fracture networks are then modelled using different inputs, including both forward modeling with faults as the main fracture drivers, and inverse modeling, with image log...

... transfer learning epoch microseismic event location exploration geophysicist 10 grid Microseismic event location using arti cial neural networks Denis Anikiev*, GFZ German Research Centre for Geosciences, Umair bin Waheed, King Fahd University of Petroleum and Minerals, Frantis ek Stane k, Colorado...

...Steering on grid: an efficient way to reduce infill rate for towed streamers surveys Lucio Di Pietro* (Total SA) and Paul Endicott (Consultant, Oasis PEC Ltd) Summary It has always been obvious that implementing a method to control or at least attenuate as much as possible the dynamic The cost...

... network (DNN) to overcome this situation. This DNN directly links the Wavefront attributes, such as local dips and curvatures of prestack seismic data with estimated attributes on a regular seismic events, are used in different seismic data processing grid. methods, from prestack data enhancement...

... a mapping between these two and show how high quality seismic can be modeled from the uniform blocks of a reservoir model. The key steps are geometrically handling the different models and Fourier surface modeling of the resulting multi-scale grid. We demonstrate this approach on a complex reservoir/ geo...

... to the pole grid over large areas of the computed in a standard right-handed coordinates system, world for purposes of geological interpretation. Formulas to do this are developed here and an example with results for and given by Kx and Ky, with Kh = (Kx2 +Ky2) ½. We can real data is shown. write, where...

...Forward modelling of direct-current resistivity data on unstructured grids using an adaptive mimetic nite-difference method Hormoz Jahandari , and Colin G. Farquharson, Memorial University of Newfoundland, and Peter Lelie`vre, Mount Allison University SUMMARY (Ren and Tang, 2010; Ren et al., 2018...

..., with a rel- 500 m by 500 m regular spacing grid, while the shots were de- atively sparse OBN survey it is possible to leverage long-offset ned on a 50 m by 50 m shot carpet grid, yielding rich azimuth and rich azimuth information for velocity estimation result- data coverage with offsets as large as 27 km...

... a specific station pattern using a fraction of stations in a normally dense grid and show that we can obtain a data set comparable to that from a full regular grid. This new acquisition pattern coupled with post-acquisition reconstruction can lead to significant savings in both the acquisition cost and time...

... upstream oil & gas fold map supershot gather reconstruction interpolation geometry shot domain grid artificial intelligence rtm image seg international exposition algorithm reservoir characterization regular grid exploration geophysicist 10 marine waz data supershot raw shot...

... workflow machine learning upstream oil & gas well velocity exploration geophysicist 10 artificial intelligence focus ratio semblance var semblance picking grid picking Automate Seismic Velocity Model Building Through Machine Learning Jiangchuan Huang*, Jun Cao, Guang Chen and Yu Zhang...

... data north slope seg international exposition reservoir characterization deep interval petroleum system amplitude anomaly grid reflector seismic reprocessing alaska university 3D seismic reprocessing for geologic interpretation of a permafrost-bearing petroleum system on the North Slope...

..., it implements an imputation scheme that recovers the denoised and reconstructed multidimensional seismic array. A significant shortcoming to the method is that MSSA requires input data on a regular grid. In essence, one adopts bin centered coordinates instead of using the actual coordinates of the seismic...

... interface. These challenges are mostly associated with the scattering and conversion of shear waves, or surface (Scholte) waves. The task is easier if the boundary is flat; a simple harmonic averaging of the model parameters near the interface, applied on a standard staggered grid leads to good results...

... approximation associated with the near offset rays in the wavefront raytracing; (2) ambiguity and uneven resolution between near- and long-offset traveltimes in the first arrivals for inversion. For the wavelength of seismic waves, the direct waves are more like straight rays within a near offset, however, grid...

... Although geological models represent a simplified vision of the earth, their obtention arises from a complex process based on a few horizons and faults during the seismic interpretation phase. A novel method to generate meshless geologic model from a grid of horizons automatically picked...

... ABSTRACT Multi-information constrained model-based tomographic inversion, which combines the advantages of horizon constraint and global inversion, builds a model based on geological horizons, and simultaneously updates parameters along the geological horizon grids and the vertical interlayer...