Impact of Seismic Attenuation on Downhole Microseismic Moment Tensor Inversion

Donghong Pei, Natalia Verkhovtseva, Jon Doucette, Price Stark

Unconventional Resources Technology Conference (URTEC)

... is represented as the convolution of M and the gradient of a Green’s function Gnp,q: 3 3 un (t )   M pq * G np ,q (2) p 1 q 1 where * stands...

Automatic well-log baseline correction via deep learning for rapid screening of potential CO2 storage sites

Misael M. Morales, Carlos Torres-Verdín, Michael Pyrcz, Murray Christie, Vladimir Rabinovich

International Meeting for Applied Geoscience and Energy (IMAGE)

... is composed of three hidden layers, each with a 1D convolution, batch normalization, rectified linear unit (ReLU) activation, dropout, and maximum...

Viscoacoustic wave propagation: Spectral-element simulations with a novel GSLS-type wave equation

Yu Chen, Bin He, Hejun Zhu

International Meeting for Applied Geoscience and Energy (IMAGE)

...; Qk is the quality factors of bulk moduli, which is equal to quality factors of P wave velocity. The convolution term can be eradicated by defining...

Prediction and attenuation method of surface-related multiple based on characteristic reflector

Jian Xiang, Huazhong Wang, Chengliang Wu

International Meeting for Applied Geoscience and Energy (IMAGE)

.... The classical SRME method obtains the multiple prediction through data convolution (Berkhout and Verschuur, 1997). Although the SRME method does not require...

Date-driven seismic velocity inversion via deep residual U-net

Yiran Huang, Chuang Pan, Qingzhen Wang, Jun Li, Jianhua Xu

International Meeting for Applied Geoscience and Energy (IMAGE)

...: 2D convolution, batch normalization and ReLU. It is noted that the addition operation is to add the output of the first block to the output...

Stochastic inversion based on Von Karman random medium prior model

Longdong Liu, Baoli Wang, Ying Lin, Guangzhi Zhang

International Meeting for Applied Geoscience and Energy (IMAGE)

... impedance perturbation added on the large-scale wave impedance. Substituting Eq. (3) into the seismic convolution equation and simplifying, Eq. (4...

The reflected waves distributed on 3D9C seismic data from ISO media

Yuan Yuan Yue, Zhiwen Deng, Hong Cao, Qianggong Song

International Meeting for Applied Geoscience and Energy (IMAGE)

... to the reflection coefficient, then is convolved with a 20Hz Ricker wavelet. The convolution results are shown in Figure 4. It can be seen that the position where...

One-way full-waveform inversion using frequency-domain model extension

Rustam Akhmadiev, Biondo Biondi, Robert G. Clapp

International Meeting for Applied Geoscience and Energy (IMAGE)

... at each iteration of the velocity update. Moreover, the extended scattering (imaging) condition requires a convolution (cross-correlation...

Uncertainty quantification of single and multi-parameter full-waveform inversion through a variational autoencoder

Abdelrahman Elmeliegy, Mrinal Sen, Jennifer Harding, Hongkyu Yoon

International Meeting for Applied Geoscience and Energy (IMAGE)

...standard deviation 𝜎. This is done through a sequence of 2D convolution layer Fourth International Meeting for Applied Geoscience ...

Perceiving the Unseen Hydrocarbon Play Potential Grounded by Seismic Reservoir Characterization and Well Data in the Gumai Formation, South Sumatera, Indonesia

Haryono Haryanto, Wahyudin Bahri Nasifi, Indah Edria Amorita, I Wayan Ardana Darma, Trisakti Kurniawan, Fithra H. Darmawan, Azli B. Abu Bakar, Randy Condronegoro, Andri Syafriya

Indonesian Petroleum Association

...) of the subsurface. In zero offset or full stacked data, seismic trace can be modeled as the convolution of the acoustic impedance reflectivity (RAI...

High-resolution seismic data processing method based on deep convolutional dictionary learning

Xiayu Gao, Qingyu Feng, Yaojun Wang, Bangli Zou, Yang Luo

International Meeting for Applied Geoscience and Energy (IMAGE)

...-resolution seismic data processing method based on Deep Convolution Dictionary Learning (DCDicL). This approach is designed to leverag the strengths...

A Physics-Guided Deep Learning Predictive Model for Robust Production Forecasting and Diagnostics in Unconventional Wells

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

Unconventional Resources Technology Conference (URTEC)

.... The component 𝑂. consists of a one-dimensional (1D) convolution operation, leaky-ReLU non-linear activation function and a one-dimensional up-sampling...

The Analysis of Seismic Inversion and Geological Modeling to Unveil the Possibility of Hydrocarbon Deposits in Mature Oil Fields. Case Study: Matoa Field - Salawati Basin

Yulia Putri Wulandari, Wah Adi Suseno, Michael Sompie, Ferry Hakim, RH Petrogas

Indonesian Petroleum Association

... trace is the convolution of the reflectivity with a band limited seismic wavelet with some noise, as expressed in the below equation...

Some Shallow Tectonic Consequences of Subduction and Their Meaning to the Hydrocarbon Explorationist: Hydrocarbons

Peter A. Montecchi

AAPG Special Volumes

... the resistance to diastrophism of the contiguous and yet-undisturbed portion of the layer. The development of the next convolution will start as soon...

Abstract: Q Estimation by a Match-filter Method; #90174 (2014)

Peng Cheng and Gary F. Margrave

Search and Discovery.com

... convolution, the minimization is taken over the range of possible Q values; ( the forward Q filter for a quality factor value Q and travel time ( ) and can...

Abstract: Wavelet Estimation by Non-Linear Optimization of All-Pass Operators; #90211 (2015)

Somanath Misra and Mauricio Sacchi

Search and Discovery.com

... deconvolution is proposed here. Parameterization of the mixed-phase wavelet as a convolution of a minimum phase wavelet with an all-pass wavelet can...

Abstract: Stratigraphic Correlation Division Algorithm Based on Log Curves Filter Synthesis and Similarity Measurement; #91204 (2023)

Mengxin Song, Chengci Wang, Hongping Miao, Yu Ren

Search and Discovery.com

... curves. Xu Chaohui [8] and others have realized automatic stratigraphic division and correlation based on convolution neural network algorithm widely...

Seismic Facies Segmentation Using Deep Learning; #42286 (2018)

Daniel Chevitarese, Daniela Szwarcman, Reinaldo Mozart D. Silva, Emilio Vital Brazil

Search and Discovery.com

... blocks represent a convolution operation followed by a ReLU activation and a batch normalization (Chevitarese et al., 2018b). (b) Semantic...

Rejuvenation of a Mature Field Through Application of a Unique Frequency Enhancement Technology, by Marcus L. Countiss, #40076, (2003)

Search and Discovery.com

Understanding the Seismic Wavelet; Steven G. Henry; Search and Discovery Article #40028 (2001)

Search and Discovery.com

Geology of the Ferris-Seminoe Mountain Area

L. C. Carpenter, H. T. Cooper

Wyoming Geological Association

... beneath over-lapping Tertiary sediments. It is the authors' opinion that the Ferris-Seminoe anticline is a relatively minor convolution on the southern...

Creating Singularity Order Attribute of Seismic Signals Using Continuous Wavelet Transform (CWT) for Stratigraphic Interpretation Tools

A.M. Ustad, M.S. Jaya, F.J. Herrman

Indonesian Petroleum Association

.... It parameterizes the complexity of the medium indirectly via the convolution mapping of reflectivity. The previous observation of correlation between...

Utilizing Variably Integrated Spectral Frequency to Extract Entire Fluvial Systems

Pongthep Thongsang, Mirza Naseer Ahmad

Indonesian Petroleum Association

...  (ms) 100 ms Figure 2 - Seismic models, 2A representing syntheticseismic convolution, 2B demonstrating TFCWT method, and 2C indicating Fourier...

Broadband Marine Seismic, Does Acquisition Make a Difference?

Martin Bayly, Sandeep Kumar Chandola, Low Cheng Foo, Abdul Aziz Muhamad, Swee Leng Ng

Indonesian Petroleum Association

... the success of these methods and their potential pitfalls. The key determinant of the eventual bandwidth of surface seismic data is the convolution...

Looking for a simplified and generalized training set in ML applications for gravity modelling

Luigi Bianco, Ciro Messina, Maurizio Fedi

International Meeting for Applied Geoscience and Energy (IMAGE)

..., doi: https://doi.org/10.1029/2021JB022476. Traore, B. B., B. Kamsu-Foguem, and F. Tangara, 2018, Deep convolution neural network for image recognition...