... techniques for marine vibrator data. international exploration geophysicist receiver differential operator frequency operator equation finite-difference modeling upstream oil & gas applied geoscience transformation acquisition deformation reservoir characterization modeling american...

... of three modules: filtering, interface auto-picking, and coordinate transformation. The casing reflections are firstly suppressed in the filtering module to improve the SNR where the primary A0 and TIE waves are manifested. Then the arrival times of primary A0 and TIE can be automatically picked...

... the human attention-inspired active signal pattern localizing strategy. This framework leverages logged historical human labelled data to learn the process of human vision focus for logging patterns. Following top-down reasoning, this agent learns to deform a bounding window using simple transformation...

... association transformation vibrator upstream oil & gas imaging ocean-bottom acquisition reverse-time migration colorado school wavefield applied geoscience exploration geophysicist shragge compute Reverse-time migration of mobile marine vibrator data Khalid Almuteri*, Paul Sava, and Jeffrey...

... waiting on to work. We will look into the various ML algorithms, from supervised to unsupervised, transformers to contrastive learning, and identify the potential role of these various algorithms on seismic data, with examples. The examples include seismic data denoising, data extrapolation, first arrival...

... topography depth equation of state anisotropic media fatt first-arrival traveltime reservoir characterization eikonal equation international exploration geophysicist distance transformation american association upstream oil & gas media eikonal solver geophysics tilted anisotropic media...

... and displacement we propose a least squares inversion scheme to obtain the particle velocity along the fibre from strain rate in a distributed acoustic sensing system. We test this least squares transformation with data from the Containment and Monitoring Institute Field Research Station in Alberta, Canada. We...

... full-waveform inversion (FWI); (3) Pre-processing the data by a non-linear weak-energy boosting transform. With the proposed method, the efficiency of progressive transfer learning is significantly improved. The proposed method is validated by FWI. The FWI results show that some of the sub-salt...

... reflection seismic profiles. A single mathematical transformation will lead to incomplete sparse expression and harmful restoration effects. Morphological Component Analysis (MCA) provides a new solution to this problem. It decomposes the signal into different components, selects suitable dictionaries...

... transformation Karst fracture-cave reservoirs controlled by carbonate high-energy phase belts are widely distributed in Tabei and Tazhong areas of Tarim Basin. However, the reservoir filling property is complex, and the fluid contained in it cannot be effectively identified. Therefore, it is difficult...

... using a Metropolis Hastings algorithm to sample our posterior distribution of 4D velocity models given observed data. To model the 4D change we use a discrete cosine transformation, and attempt to recover the lowest frequency coefficients, so that we can model realistic changes with only a few degrees...

... to illite transformation, and sandstone diagenesis. Location factors include seafloor topographic highs or lows, presence of salt bodies, salt movement, proximity to faults, geothermal gradients, and thickness of clastic lithological units. Presentation Date: Monday, September 16, 2019 Session Start Time...

... in complexly anisotropic media. This paper derives the azimuthal elastic impedance (AEI) equation in terms of the truncated Fourier series and utilizes Karhunen-Loève (K-L) transformation to analyze the azimuthal variation of the P-wave amplitude. And then the innovative AEI equation incorporating the prior...

.... Presentation Date: Wednesday, September 18, 2019 Session Start Time: 1:50 PM Presentation Time: 3:05 PM Location: 221D Presentation Type: Oral transformation machine learning upstream oil & gas detection reservoir characterization image segmentation dataset bias signature annual meeting...

..., September 18, 2019 Session Start Time: 1:50 PM Presentation Start Time: 2:40 PM Location: 214D Presentation Type: Oral upstream oil & gas iteration sparse inversion seg international exposition inline gather transformation noise seg 10 long-offset obn data velocity model building...

.... In this paper, we present a method which geometrically restores complex 3D structural models without relying on mechanical parameters. In an adaptation of the mathematical GeoChron framework, we compute a restoration transformation for each horizon in the initial model from present day geometry and the uvt...

... structures. Presentation Date: Wednesday, September 18, 2019 Session Start Time: 8:30 AM Presentation Time: 9:20 AM Location: 221B Presentation Type: Oral hydraulic fracturing trend seismic shale gas transformation annual meeting reservoir characterization complex reservoir upstream oil...

... section magnetic data transformation susceptibility distribution geophysical data multinary transformation ABSTRACT This paper introduces a novel approach to the joint inversion of gravity and magnetic data based on multinary transformation of the model parameters and Gramian constraints...

... data. Most established methods use two characteristics of multiples, delayed arrival time with respect to primaries, and periodicity. An attempt is made to use coherency as the foundation for attenuating multiples. Karhunen Loeve Transform is used on dataset, using multiple velocity. Principal...

... ABSTRACT Multi-scale envelope inversion (MSEI) was proposed by using window-averaged envelope to invert strong contrast models. From seismic data to window averaged envelope is a nonlinear data transformation and it is aimed to extract low-frequency information in the data without depending...