Magnetotelluric inversion using supervised learning trained with random smooth geoelectric models

Lian Liu, Bo Yang, Yixian Xu, Dikun Yang

International Meeting for Applied Geoscience and Energy (IMAGE)

... increased as a function of the depth. Liu et al. (2021) implemented deep-learning seismic full-waveform inversion for realistic structural models using...

Application of Common Contour Binning (CCB) and Back Propagation Neural Network (BPNN) for Oil Water Contact Prediction in Carbonate Reservoir (The Case Study at G404 Field)

Wahyu Tri Sutrisno, Septian Prahastudhi, Ayi Syaeful Bahri, Yulia Putri Wulandari

Indonesian Petroleum Association

... defined with respect to the training set. Performance of the networks is then compared by evaluating the error function using the training validation set...

The plug drum effect, or why your microseismic events may not be where you think they are

Guillaume Bergery, Zhishuai Zhang, Jing Du, D. Diller, T. Shuck, B. Fish

Unconventional Resources Technology Conference (URTEC)

.... An accurate velocity model is required to accurately locate microseismic events. An initial velocity model is usually built using a sonic log...

2D Pre-Stack Depth Migration : Application to Inverted Grabens

C. Bunks, P. L. Pichon, L. Ben Brahim, Sekar Sakti

Indonesian Petroleum Association

... an in house 2D pre-stack depth migration and velocity analysis program called MIGPACK. MIGPACK performs finite-difference migration in the source geophone...

Deep compressed learning for 3D seismic inversion

Maayan Gelboim, Amir Adler, Yen Sun, Mauricio Araya-Polo

International Meeting for Applied Geoscience and Energy (IMAGE)

... × depth), with variable thickness velocity layers, including random salt geometries in 40% of the models. All models were generated using the Gempy...

Modeling of Erosion and Deposition by Turbidity Currents Generated at River Mouths

Thierry Mulder , James P.M. Syvitski , Kenneth I. Skene

Journal of Sedimentary Research (SEPM)

... using the discharge and channel-mouth dimensions. For example, a 5000 m3s-1) discharge of the Saguenay River is associated with a river-mouth velocity...

Basin Evaluation Using Burial History Calculations: an Overview

T. M. Guidish , C. G. St. C. Kendall , I. Lerche , D. J. Toth , R. F. Yarzab

AAPG Bulletin

..., and conductivity as a function of depth and lithology, as well as the results obtained from algorithms to handle unconformities and backstripped crustal...

Advanced Machine Learning Methods for Prediction of Fracture Closure Pressure, ClosureTime, Permeability and Time to Late Flow Regimes From DFIT

Mohamed Ibrahim Mohamed, Dinesh Mehta, Mohamed Salah, Mazher Ibrahim, Erdal Ozkan

Unconventional Resources Technology Conference (URTEC)

.... URTeC 2762 7 Figure 6.Variable importance to predict closure pressure (Pc) using a linear regression predictive model. While investigating...

Next-generation resolution through multiparameter FWI imaging

Tom Rayment, James McLeman, Karen Dancer, Tim Burgess

International Meeting for Applied Geoscience and Energy (IMAGE)

...) imaging offers an alternative approach by simultaneously inverting for various parameters including velocity and reflectivity using raw field data as input...

New Integrated Workflows for Improved Pore Pressure Prediction and Seismic Imaging, #41705 (2015).

Marek Kacewicz, Sankar Muhuri, Weihong Fei

Search and Discovery.com

.... Seismic imaging typically attempts to account for either depth varying compaction driven velocity models or laterally varying velocity models constrained...

The Impact of Pore Geometry and Microporosity on Velocity-Porosity Relationship in Carbonates of Central Luconia, Sarawak; #41030 (2012)

Nor Sara Izzatti Bashah and Bernard Pierson

Search and Discovery.com

... correlation coefficient (R2) of 0.893. Velocity prediction will be more accurate using a combination of porosity with γ, PoA and DOMsize with a correlation...

Flume Experiments on Lower-Flow-Regime Bed Forms in Coarse Sand

Warren R. Costello, John B. Southard

Journal of Sedimentary Research (SEPM)

..., Representation of bed configurations in depth-velocity-size diagrams: Jour. Sed. Petrology, v. 41, p. 903-915. SOUTHARD, J. B., AND BOGUCHWAL, L...

Abstract: Array Analysis of Surface Microseismic Data from the Rolla Microseismic Experiment; #90174 (2014)

Katarina Seckarova and David W. Eaton

Search and Discovery.com

... which 30 events were analyzed to determine backazimuth and apparent velocity. This was accomplished by using a velocity analysis procedures similar...

Reservoir vs. Seal Pressure Gradients: Calculations and Pitfalls; #41298 (2014)

Selim Simon Shaker

Search and Discovery.com

... unconsolidated sediments have the same gradient (+/- 0.465 psi/ft in GoM) and is a function of depth and seawater density. On the other hand, in onshore...

Estimation of Hydraulic Fracture Height and Pressure Deflation Using a Pulsed Vertical Seismic Profile and a DAS Fiber in the Midland Basin

Robert Meek, Robert Hull, Kevin Woller, Brian Wright, Mike Martin, Hector Bello, James Bailey

Unconventional Resources Technology Conference (URTEC)

... up to the frac stage using the direct arrival ray paths. Conclusion The pulsed VSP showed travel-time changes as a function of time through a single...

One-Dimensional Prestack Seismic Inversion with Very Fast Simulated Annealing using Edge-Preserving-Smoothing Filter; #41576 (2015)

Somanath Misra, Mauricio Sacchi

Search and Discovery.com

... a genetic algorithm: Geophysics, v. 60, p. 939-954. Sen, M., and P.L. Stoffa, 1991, Non-linear one-dimensional seismic waveform inversion using simulated...

Microseismic imaging with three-component borehole sensors

Jakob B. U. Haldorsen

International Meeting for Applied Geoscience and Energy (IMAGE)

... microseismicity. WAVEFIELD DECOMPOSITION Consider a function a(tn, xm ), measured at times tn = (n−1)∆t, by a linear array of M sensors at regularly spaced...

Depth correction using velocity for structure calibration at Leviathan Field, offshore Israel

Yijie Zhou, Brad Christensen, Lin Christianson

International Meeting for Applied Geoscience and Energy (IMAGE)

...Depth correction using velocity for structure calibration at Leviathan Field, offshore Israel Yijie Zhou, Brad Christensen, Lin Christianson Depth...

Physics-Constrained Deep Learning for Production Forecast in Tight Reservoirs

Nguyen T. Le, Roman J. Shor, Zhuoheng Chen

Unconventional Resources Technology Conference (URTEC)

... width and depth (Hornik et al., 1989). A multilayer neural network can be seen as a nested function that maps input to output. Each layer performs...

Abstract: Depth Velocity Model Optimization Using Beam Migration in a Mediterranean Field Offshore Egypt, by Ahmed El Bassiony, Bertrand Caselitz, Vira Matsourak, and Charles Zeltser; #90105 (2010)

Search and Discovery.com

Regional exploration of crustal structures from long-offset OBN data by extended-source FWI

Gaoshan Guo, Stéphane Operto

International Meeting for Applied Geoscience and Energy (IMAGE)

... model: On the effect of time-offset windowing We proceed now with the second test using the 1D linear initial model (Figure 1c). The configuration...

Abstract: Recent Advances in the Characterization of Unconventional Reservoirs with Wide-azimuth Seismic Data; #90187 (2014)

Ran Bachrach, Sagnik Dasgupta, Colin Sayers, Josimar Silva, and Stefano Volterrani

Search and Discovery.com

... of unconventional plays. Using the measured amplitude as a function of azimuth and polar angle of incidence, the new orthotropic formulation can be written...

A Novel Method for Experimental Characterization of the Poroelastic Constants in Unconventional Formations

Deepak Gokaraju, Munir Aldin, Akshay Thombare, Abhijit Mitra, Sudarshan Govindarajan, Robert Patterson

Unconventional Resources Technology Conference (URTEC)

... velocity, axial and radial strains were measured to evaluate the use of velocity as a gauge. Two Linear Variable Differential Transformers (LVDT) were...

4D Seismic and Rock Physics Modeling Responses to Reservoir Steam Flood

Muhammad Edisar, Lilik Hendrajaya, Gunawan Handayani, Umar Fauzi, Laode Ngkoimani, Yarmanto

Indonesian Petroleum Association

... tools are the Sgrid in depth, porosity, water saturation, oil saturation, gas saturation, P-wave velocity, density, facies, pore pressure...

True Amplitude Preserved Multi-Azimuth Pre-Stack Depth Migration for Structural and Reservoir Characterization (Sisi-Nubi Field, Indonesia)

M. Baturin, F. Bertini, J. Bonnafé, A. Riou, S. Birdus, Y. Yin

Indonesian Petroleum Association

... considered to be important for the model (Fig. 7). The initial depth velocity model was built from a Vrms field available from previous time processing...