1-20 of 224
Keywords: seismic inversion
Close
Follow your search
Access your saved searches in your account

Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3216500
... ABSTRACT Accurate identification of the spatial distribution of various pore types in carbonate reservoirs by seismic inversion is challenging due to the diverse pore structures resulting from deposition and diagenetic modification and low-resolution of seismic data. We use a bulk-frame...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3216578
..., and wireline log data, with petrophysical analysis, seismic inversion, geomodeling, and lateral completion design. The key objective was to identify regional facies variations throughout the Haynesville and delineate those that contribute to hydrocarbon production in the area of interest. Moreover...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3216815
... artificial intelligence seismic inversion toc content Bishop , K. , 2015 , Mechanical Stratigraphy of the Vaca Muerta Formation, Neuquén Basin, Argentina :Master of Science degree, Colorado School of Mines . Garcia , M. N. , F. , Sorenson , J. C. , Bonapace , F. , Motta , C. , Bajuk...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3194681
... . AVA Deterministic, Stochastic and Wave-Equation based Seismic Inversion for the Characterization of Fluvio-Deltaic Gas Reservoirs of Western Australia Arturo Contreras*, Andre Gerhardt, Paul Spaans, and Matthew Docherty, Woodside Energy Ltd Summary A state-of-the-art inversion methodology is described...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3203813
...The small data solution driving data discovery in the absence of key data T. Ramsay*, C. Lu, and J. He, Halliburton Summary Integrated time-lapse solutions involve maintaining or establishing interpretive continuity between determined multi-vintage rock properties from seismic inversion and...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3214684
... ABSTRACT Due to the band-limited characteristic of seismic data and noise pollution, seismic inversion shows the strong ill-posedness, thus conventional seismic inversion methods have inherent defects in recovering stratigraphic information of large-scale (low-frequency) and small-scale (high...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3214922
... upstream oil & gas artificial intelligence synthetic example lithology annual meeting facies-based inversion seg international exposition seismic inversion inversion ikon science ltd elastic property Ciz , R. , and S. A. , Shapiro , 2007 , Generalization of Gassmann...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3214872
... zone of full gas saturation from a zone of PRG. However, extracting density from amplitude-variations-with-offset (AVO) seismic inversion can be challenging, due to weak sensitivity of seismic reflection amplitude to density, and lack of good quality seismic AVO data. With the recent improvements in...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3215834
... strata was originally estimated at around 9 GT (Almutairi et al., 2017). Using legacy industry 2-D seismic reflection and well data, this assessment is the first application of multiple seismic inversion techniques in this area. This work provides a reliable and replicable workflow of model-based...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3216138
... 16, 2019 Session Start Time: 1:50 PM Presentation Start Time: 3:05 PM Location: 217A Presentation Type: Oral reservoir characterization petrophysical interpretation annual meeting neural network seismic inversion quantitative interpretation workflow deep neural network...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3216214
... ABSTRACT Any seismic inversion that delivers a solution containing frequencies outside of the seismic bandwidth does so by using additional information. This information is not contained in the seismic data. Examples of such information include low frequency models, assumptions in algorithms...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3216159
... ABSTRACT The case study based on the inversion study of an area, situated in Cauvery basin, east cost of India. The objective of this area is to delineate and identification of reservoir sand through seismic inversion. We will discuss here the deterministic and the geostatistical method of...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3215750
... ABSTRACT Deep learning has a good performance in feature extraction and nonlinear fitting. In recent years, there has been more and more researchers applying deep learning to geophysics. In this work, we build a Resnet for pre-stack seismic inversion for azimuthal anisotropic medium, from...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3215696
... visible layer toward the remaining ones. We then use the network to perform pre-stack seismic inversion to predict the impedances by training it to learn the non-linear relationship between the rock properties and seismic amplitudes. The inversion algorithm requires low frequency starting models to...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3215709
..., into the calculation of weight. Therefore, the prior impedance model calculated by SCW is in line with the geological laws and can reduce the multisolution of seismic inversion. The application results of the deep-thin volcanic reservoirs in the Junggar Basin, China, indicate that our inversion...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3215902
... semi-supervised learning forward model algorithm neural network modeling machine learning workflow seismic trace inverse problem inversion estimation seismic inversion georgia institute submodule property loss inverse model convolutional layer upstream oil & gas deep...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3211255
... from bulk modulus. Firstly, the relation between pore pressure and bulk modulus is initially derived. Furthermore, the elastic impedance equation in terms of bulk modulus is given as forward solver for inversion. Prestack seismic inversion based on Bayesian theory is utilized and then the normal...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3214113
...Depth domain pre-stack seismic inversion with depth and angle variant wavelets Rui Zhang and Zhiwen Deng SUMMARY Depth domain seismic datasets become more and more pop- ular used around industry, which leads to the increasing de- mands to invert the depth domain pre-stack seismic data for elastic...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3216464
... ABSTRACT In this paper, we introduce a deep neural network method to solve the seismic inversion problem. After standard processing steps on acquired seismic data, the resulting low frequency seismic traces can be considered as filtered version of the earth’s high frequency reflectivity by...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3206488
... seismic inversion method with smooth background constraint is utilized to overcome the problem that the conventional AVAZ inversion method becomes relatively dependent on the initial model. Cauchy and Gaussian probability distributions are respectively utilized as priori information of the model...

Product(s) added to cart

Close Modal