..., two seismic reservoir characterization tools, namely discriminant analysis and multi-variate regression, have been applied on the two sets of inversion results and are compared. Finally, 4 runs of stochastic inversion, using 4 different seeds enable to dispose of a large set of simulated impedance...

... geophysical data geophysical inversion latent vector generative network upstream oil & gas training set exploration geophysicist 10 international conference latent space training model artificial intelligence stochastic inversion applied geoscience encoder network inversion variational...

...An accelerating strategy in stochastic inversion Bo Yu, Hui Zhou, Lingqian Wang, Hanming Chen, Weilin Huang, Guojun Shang, State Key Laboratory of Petroleum Resources and Prospecting, CNPC Key Lab of Geophysical Exploration, China University of Petroleum, Beijing. S ummary 2017). Compared...

... A spectral method for performing stochastic inversion through the integration of deterministic inversion with the stochastic process is presented. The result is equivalent to the Stochastic Inversion in terms of resolution, it matches the seismic data, and it enables uncertainly estimation via...

... We present a stochastic inversion procedure for surface-based common-offset ground-penetrating radar (GPR) reflection data. The method is based on simulated annealing (SA) and conditioned to borehole information available along the GPR profile. Application to synthetic and field data indicates...

... field stochastic inversion coral rich facies knowledge management integration facies seismic inversion result inversion artificial intelligence reflection amplitude interpretation reservoir characterization lithology dense facies porosity inversion result seismic data upstream oil...

... ABSTRACT This paper presents a stochastic inversion method based on statistical medium parameter modeling. Firstly, the statistical medium parameters are estimated according to the statistical characteristics of the actual seismic data. The mean and variance of inversion parameters...

... Time: 1:50 PM Presentation Start Time: 1:50 PM Location: 217A Presentation Type: Oral integration stochastic inversion quantitative seismic interpretation reservoir dynamic model integration geologic modeling upstream oil & gas reservoir connectivity analysis interpretation...

... the lateral continuity of the Fluvio-Deltaic reservoirs as well as the delineation of the gas reservoirs, based on the interpretation of inverted elastic properties and lithology and fluid-sensitive modulus attributes. AVA stochastic inversion provides more realistic and higher-resolution results than those...

...: Poster true model artificial intelligence probability distribution inversion method geologic modeling machine learning inversion result ds method stochastic inversion modeling & simulation node stochastic simulation result lithology distribution training image inversion...

... inversion method flow, it combines the advantages of spectral inversion and stochastic inversion. Spectral bandwidth extension, frequency-divided processing, facies-controlled modeling with 3D net-to-gross ratio is used to improve the stability and the resolution of inversion. Our experience shows...

... (Chakraborty et al., 2017, Hartman et al., 2017). In this paper we show that this OBN data has allowed the application of our stochastic inversion workflow (ODiSI) (Connolly and Hughes, 2016) for reservoir property prediction. We demonstrate that the ODiSI process, based on matching a large number...

... value of each class in Bayesian probability classification. Presentation Date: Tuesday, October 16, 2018 Start Time: 8:30:00 AM Location: 209A (Anaheim Convention Center) Presentation Type: Oral cross plot seg international exposition stochastic inversion elastic log classification...

... ABSTRACT A new stochastic inversion algorithm is developed incorporating a method of computer vision, known as image quilting. The main stochastic inversion is implemented in a multiple point statistics manner, incorporating training image. The image quilting algorithm helps us to modify...

... fields. This paper presents an integrated workflow to understand reservoir connectivity and highlights effective integration of probabilistic distribution of fluids and facies with stochastic inversion derivatives and static model. The results from an infill drilling program were analyzed by integrating...

... than using the traditional method. Furthermore, GAMH-MCMC method can improve computational efficiency to some extent. Presentation Date: Wednesday, October 17, 2018 Start Time: 1:50:00 PM Location: 206A (Anaheim Convention Center) Presentation Type: Oral stochastic inversion china...

... ABSTRACT The aim of seismic inversion is to estimate the subsurface elastic properties. As one of the seismic inversion methods, stochastic inversion is becoming more and more attractive because of its high vertical resolution. It can make full use of the well logging data which contains...

... better resolution. Finally, Markov Chain Monte Carlo method is employed to conduct the simulation. Therefore the minimum inversion biasness is ensured and better uncertainty assessment is provided. This proposed stochastic inversion is applied to an offshore field in Malaysia and successfully inverts...

... ABSTRACT One of the emerging technologies in geophysics is the stochastic inversion of geophysical data for the prediction of rock and fluid properties. The probability distribution of the geophysical properties of interest can be computed using a probabilistic inverse method. The integration...

... ABSTRACT The aim of seismic inversion is to estimate the subsurface elastic properties. As one of the many inversion methods, stochastic inversion is becoming more and more attractive because of its high vertical resolution. It can make full use of the well logging data which contains the high...