Analysis of High Resolution Seismic Data: Section 2. Application of Seismic Reflection Configuration to Stratigraphic Interpretation

Herman C. Sieck, George W. Self

AAPG Special Volumes

... collapse. The "noise" produced during this interval generally masks reflections for 15 to 25 m at the seafloor and at each event (Fig. 7). The capacitor...

Implementation of Seismic Data Quality Characterisation Using Supervised Deep Learning

Joshua Thorp, Krista Davies, Julien Bluteau, Peter Hoiles

Australian Petroleum Production & Exploration Association (APPEA) Journal

... methods, such as frequency decomposition, autocorrelations and signal to noise ratios. Unfortunately, due to the non-linearity and spatial...

Abstract: Velocity Dispersion in Field Seismic Data: Impact, Detection and Application; #90211 (2015)

Langqiu Sun

Search and Discovery.com

... was a few milliseconds (Fig. 1). Another test simulated the effect of a single-Debye-peak Q model (Fig. 2a, from Toms et al., 2005). Fig. 2b shows...

Optimal transport for elastic source inversion

Tyler Masthay, Björn Engquist

International Meeting for Applied Geoscience and Energy (IMAGE)

... can lead to a cancellation effect in the transport plan. This cancellation effect makes W2 particularly robust with respect to noise. Third...

Abstract: Production of Crushed Rock Aggregate: Some Environmental Considerations

T. F. Ng, E. B. Yeap

Geological Society of Malaysia (GSM)

... Copyright © 2017 by Geological Society of Malaysia (GSM) 187 pollution, noise, ground vibration, air blast and flyrock occurrences. Most...

A Comparative Analysis of Machine Learning Techniques for Geothermal Wells Drilling Rate of Penetration (ROP) Prediction

Taha Yehia, Moamen Gasser, Hossam Ebaid, Nathan Meehan, Esuru Rita Okoroafor

Unconventional Resources Technology Conference (URTEC)

... a code tailored for the intensive preprocessing of drilling data. This code offers many options, including various noise-removing techniques and scaling...

Velocity model building and imaging driven by FWI with dual-azimuth data in a complex salt environment: Brazil case study

Xu Li, Christine Gans, Young Ho Cha, Diwi Snyder, Gopal Palacharla, Vijay Gottumukkula, Yaofeng He, Hongchuan Sun, Tetyana Vdovina, Xueyi Jia, Valeriy Brytik, Inmaculada Dura-Gomez

International Meeting for Applied Geoscience and Energy (IMAGE)

..., then 3.5Hz, and 5.5Hz, to minimize the cycle skipping effect. An elastic finite difference engine was used for FWI in this project, rather than...

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

... stack while stratigraphic variations and random noise will be canceled out (dGB ++, 2008). Back Propagation Neural Network Back-propagation-type neural...

Abstract: Nisku Multiple Attenuation with Interpolation and Sparsity: A Case Study; #90172 (2014)

Lee Hunt, Scott Reynolds, Mark Hadley, Scott Hadley, Mike Perz, Ye Zheng

Search and Discovery.com

... a significant area. We became concerned that this superbinning might limit the resolution of the transform through a structural smearing effect. We...

The Diurnal Inequality of the Tide as a Parameter for Recognizing Tidal Influences

P. L. De Boer, A. P. Oost, M. J. Visser

Journal of Sedimentary Research (SEPM)

.... J., AND DE BOER, P. L., 1982, The effect of the diurnal inequality on tidal sediments: a tool in the recognition of tidal influences: Copenhagen...

Understanding the Drivers of Parent-child Depletion: A Machine Learning Approach

Dillon Niederhut, Alexander Cui

Unconventional Resources Technology Conference (URTEC)

... of the infill well as compared to the parent. Distance to the closest parent produces a nonlinear effect on child production, and one which is mediated...

Advances in Diplog® Data Processing for Stratigraphic Analysis

C. Carter Waid, S. B. Easton, G. S. Weissmann

Geological Society of Malaysia (GSM)

... (a local maximum or minimum) are the depths at which the pad may have crossed bedding planes. H the magitude of the slope is larger than a user input noise...

Abstract: An Analysis of the Benefits of 3D Pre-Stack Time Migration (Paper 11)

Peter Whiting

Geological Society of Malaysia (GSM)

... these residual difficulties. The benefits of 3D pre-stack time migration include improved stacking, attenuation of dipping noise, a more accurate...

4D Passive and Aggressive Monitoring of Air Injection at Telephone Lake, Alberta; #80378 (2014)

Richard Pearcy and Larry Mayo

Search and Discovery.com

... of the dewatering effect and water movement in time. Introduction As a part of an air injection monitoring exercise in the Telephone Lake area of Northern...

Memoir 71, Chapter 21: Effect of Wettability on Scale-Up of Multiphase Flow From Core-Scale to Reservoir Fine-Grid Scale

Y. C. Chang, V. Mani, and K. K. Mohanty

AAPG Special Volumes

...Memoir 71, Chapter 21: Effect of Wettability on Scale-Up of Multiphase Flow From Core-Scale to Reservoir Fine-Grid Scale Y. C. Chang, V. Mani, and K...

A New Look at Inverting Subsidence to Heat Flow in Rift-Related Basins … Deconvolution of Processes and Phases, #11057 (2018).

Daniel B. Palmowski, Thomas Fuchs, Thomas Hantschel

Search and Discovery.com

...A New Look at Inverting Subsidence to Heat Flow in Rift-Related Basins … Deconvolution of Processes and Phases, #11057 (2018). Daniel B. Palmowski...

Abstract: Seismic Source Parameters Optimization in Shallow Water Area Offshore Abu Dhabi, U.A.E, by Tomohide Ishiyama, Derrick Painter, Kamel Belaid, and Tamer Saleh; #90105 (2010)

Search and Discovery.com

Abstract: Uncertainty in Surface Microseismic Monitoring; #90187 (2014)

Michael Thornton, Mike Mueller, and Leo Eisner

Search and Discovery.com

.... Uncertainty in this estimate is driven by the effect of noise in this selection process. While the particulars of how noise interacts...

The Role of Positive Feedback in the Development of Internal Oscillations for a Simple, Tightly Coupled, Nearshore Depositional Model

Brian S. Penn, John W. Harbaugh

Special Publications of SEPM

... random noise with random spikes and pinch outs that is grow or regions relatively cyclic pattern would abruptly amplitude and completely change...

Automated metallic pipeline detection using magnetic data and convolutional neural networks

Brett Bernstein, Yaoguo Li, Richard Hammack

International Meeting for Applied Geoscience and Energy (IMAGE)

... random angles between 0 and 360 , and randomly select 5,000 samples from each class for a final total of 10,000 images. Gaussian noise with a zero mean...

Increasing The Resolution of Seismic Imaging With Spectral Blueing, Spectral Decomposition RGB And HSV Blending to Delineate The Fluvial Facies on Fluvio Deltaic Environment

Aji Darma Maulana, Nine Safira, Ongki Ari Prayoga, Egie Wijaksono, Alit Ascaria

Indonesian Petroleum Association

... the dominance of Blue Spectrum by analyzing the slope spectrum of the well data, bandpassing, and analyzing the deconvolution operator. In this method...

The Expected Shapes of Blocks and Grains: NOTES

I. J. Smalley

Journal of Sedimentary Research (SEPM)

... agencies, such as in anisotropic crystal structure or salty cleavage, they can be called random forces; and they tend to produce particles with random...

Abstract: DAS-VSP Application in Complex Structure of Western China; #90319 (2018)

Zhidong Cai, Gang Yu, Yanpeng Li, Yixin Jin, Yanhua Wang

Search and Discovery.com

... application effect in complex structure area in western China. But due to the low signal-to-noise ratio of DAS data, DAS-VSP can’t take the place...

Transfer Learning with Recurrent Neural Networks for Long-term Production Forecasting in Unconventional Reservoirs

Syamil Mohd Razak, Jodel Cornelio, Young Cho, Hui-Hai Liu, Ravimadhav Vaidya, Behnam Jafarpour

Unconventional Resources Technology Conference (URTEC)

... and 𝒚12# where 𝑁$ = 1, 𝑁4 = 1 and 𝑁3 = 1. We first consider a transfer learning scenario (i.e., random) to mimic an infill drilling development...

Quality Data at a Reduced Price: Innovative Approaches in 3-D Acquisition and Processing

Mars E. Semaan, Michel F. Bee, Maryanto, Gerard Dufourd, Eddy A. Sentani

Indonesian Petroleum Association

... deconvolution with 120 ms operator length designed from a window between 100 and 900 ms, and with 0.1% white noise level Application of field statics...