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...

Least Square Q-Kirchhoff Migration: Implementation and Application

Xiaodong Wu, Yi Xie, Joe Zhou, Dechun Lin, Yu Wang

Petroleum Exploration Society of Australia (PESA)

...) is obtained by convolution Bm1 . Q It is worth mentioning that because the solution space for B is large, some sparse constraints have to be imposed on (4...

Improved approach for the suppression of interbed multiples related with coal strata in the Junggar Basin

Yang Huidong, Li Daoshan, Gong Ting, Lv Yongchang, Miao Yanshu, Zhang Boen

International Meeting for Applied Geoscience and Energy (IMAGE)

... on convolution-correlation was proposed by Jakubowicz in 1998, decomposes the internal multiple prediction from three components. The three...

A New Technique of Thin Bed Reservoir Evaluation Using Image Log Data

Dwiky Perdana Susanto, Gilang Ariestya, Haris Kurniawan Hidayat

Indonesian Petroleum Association

... synthetic logs, de-convolution was performed for each high-resolution synthetic log to be compared with a standard resolution log (Figure 4). An iterative...

Combined AVO and Spectral Decomposition Analyses to Characterize Gas Sand Reservoir Below Tuning Thickness Condition

Julian Saputro, Jaenudin, Alexis Badai Samudra, Enik Puji Lestari, Sugiono, Aldis Ramadhan, Yosi Hirosiadi

Indonesian Petroleum Association

... in frequency analysis, fast convolution, image process-ing, etc. Moreover, fast algorithms exist that make it possible to compute the DFT very...

AVA attribute estimation from misaligned seismic gathers using U-Net

Ammar Ghanim, Ricard Durall, Norman Ettrich

International Meeting for Applied Geoscience and Energy (IMAGE)

...ey approximation. Subsequently, convolution with the wavelet (𝑤) is performed to ultimately produce the synthetic seismic gathers (𝑦seis ). ̅ Fou...

Deep water OBN multiple prediction from local reflectivity in the Stolt domain

Cesar Ricardez

International Meeting for Applied Geoscience and Energy (IMAGE)

... the convolution of two bandlimited signals. Its superiority can be noted in predicting complex multiples necessitating a broad aperture for prediction...