Click to minimize content

Welcome to the new Datapages Archives

Datapages has redesigned the Archives with new features. You can search from the home page or browse content from over 40 publishers and societies. Non-subscribers may now view abstracts on all items before purchasing full text. Please continue to send us your feedback at emailaddress.

AAPG Members: Your membership includes full access to the online archive of the AAPG Bulletin. Please login at Members Only. Access to full text from other collections requires a subscription or pay-per-view document purchase.

Click to maximize content

Welcome to the new Datapages Archives

Search Results   > New Search > Revise Search

The AAPG/Datapages Combined Publications Database

Showing 772 Results. Searched 200,293 documents.

< Previous   3   4   5   6   7   Next >

Ascending

A New Approach of Thin Bed Analysis Using Innovative LWD Imaging to Improve Net-Pay

Restio Brata, Mario Petricola, Hengky NG, Rahmi Kemalawati, Budiyono, Yus Willian, Bambang Pujasmadi, Aditi Pal

Indonesian Petroleum Association

.... The parameter is then implemented in the deviated wells with some adjustment based on the similar sand reservoir properties correlation. METHOD AND WORKFLOW...

2016

Abstracts: Application of Fractional Fourier Transform in Cepstrum Analysis; #90173 (2015)

K. H. Miah, R. H. Herrera, M. van der Baan, and M. D. Sacchi

Search and Discovery.com

... of the logarithm of a signal’s Fourier transform is the cepstral domain representation of that signal. The convolution operation of two signals in the time...

2015

Theory and Methodology for Seismic Texture Analysis: Implications for Seismic Facies Visualization and Interpretation

Dengliang Gao

GCAGS Transactions

..., seismic texture is linked to stratigraphy via a wavelet convolution, and such a physical link holds the key and potential to characterize depositional...

2006

Amplitude Mapping of Reservoirs in North Africa

Search and Discovery.com

... spectrum. A “match filter” is a simple convolution filter designed on the difference in phase and amplitude spectra between two wavelets. An operator...

2013

Transformer-based network for an efficient ground roll suppression

Randy Harsuko, Omar Saad, Tariq Alkhalifah

International Meeting for Applied Geoscience and Energy (IMAGE)

...-attention mechanism then finds the connection between the traces through its inherent optimized correlation and weighted summation operations, which...

2024

A cross-shape deep Boltzmann machine for petrophysical seismic inversion

Son Dang Phan and Mrinal K. Sen

AAPG Bulletin

... properties such as P-impedance, S-impedance, and density. The inverse problem comprises (1) a forward problem, which uses a convolution model between...

2022

Know Before You Go!

Lars Zühlsdorff, Trond Haugland

GEO ExPro Magazine

... by well-log data in each specific case. The Figure 3: Sample calculations from a rock model, indicating how fluid saturation, shale content and porosity...

2021

Abstract: Full Waveform Inversion Algorithm using Time Imaging Methods; #90174 (2014)

Hassan Khaniani, John C. Bancroft, Gary F. Margrave, and Eric von Lunen

Search and Discovery.com

... (PSPI) one way wave equation for gradient calculations. In this work we start with the forward Kirchhoff operator for prediction of shot records from...

2014

Assessment of Rate Normalization and Pressure Deconvolution Techniques to History-Match and Forecast Production of Tight-Oil Reservoirs Using a Physics-Based Rate-Time Model

Leopoldo M. Ruiz Maraggi, Larry W. Lake, Mark P. Walsh

Unconventional Resources Technology Conference (URTEC)

... conditions. Second, we present the concepts of time superposition, convolution, deconvolution, and rate normalization. Third, we introduce the numerical...

2021

Reliability estimation of the prediction results by 1D deep learning ATEM inversion using maximum depth of investigation

Hyeonwoo Kang, Minkyu Bang, Soon Jee Seol, Joongmoo Byun

International Meeting for Applied Geoscience and Energy (IMAGE)

... the maximum depth of investigation (MDI) proposed by Spies (1989) as the reliable depth of prediction results. Through the analysis on the correlation...

2022

Seismic absolute acoustic impedance inversion using domain adversarial based transfer learning

Anjali Dixit, Animesh Mandal

International Meeting for Applied Geoscience and Energy (IMAGE)

... of Poseidon field, NW-Shelf, Australia. The results exhibit a good correlation along a test well for both Fourth International Meeting for Applied Geoscience...

2024

S-wave velocity prediction using a deep learning scheme and attention mechanism

Gang Feng, Wen-Qin Liu, Zhe Yang, Wei Yang, Jian-Hua Wang

International Meeting for Applied Geoscience and Energy (IMAGE)

... Where, Re LU ( x ) = max ( x ) , Wc and bc represent the weight matrix and bias, respectively, and * represents the convolution operation, X represents...

2024

Waterflood Performance Monitoring: 4D-Microgravity and Vertical Electrical Sounding (VES) Approach in Tanjung Complex Structure, Tanjung Field, South Kalimantan

Fahmi Bajry, R. Agung I. Wardhana, Reza Rahadian, Adhitya Pratama Lanadito, Wawan Gunawan A. Kadir

Indonesian Petroleum Association

... Schlumberger configuration. In mathematics, gravity anomaly is the result of convolution between Ri operators who depend on the geometry...

2016

High-efficient reflection retrieval from massive ambient noise using a deep-learning workflow

Yinghe Wu, Shulin Pan, Dawei Liu, Yaojie Chen, Qinghui Cui

International Meeting for Applied Geoscience and Energy (IMAGE)

... offset records and named this correlation calculation method "daylight imaging." Rickett and Claerbout (2000) verified Claerbout's (1968) theory...

2024

Some Patterns of Sulfur Isotope Distribution in Uranium Deposits1

S. Ralph Austin

Earth Science Bulletin (WGA)

..., but in their “zone of aeration (vadose zone)” where according to their calculations “oxygen generally is too plentiful. . .to produce intermediate sulfur...

1970

The Characteristics and Origins of Dish and Pillar Structures

Donald R. Lowe, Robert D. LoPiccolo

Journal of Sedimentary Research (SEPM)

... crosslaminations deformed near top into convolute laminations: anticlinal convolution containing plant debris (1) and synclinal convolution showing...

1974

A hybrid machine learning model for improving regression of mineral composition estimation using well logging data

Xiaojun Liu, Kezhen Hu, Stephen E. Grasby, Benjamin Lee

International Meeting for Applied Geoscience and Energy (IMAGE)

...) is added to model training to decrease the sensitivity and increase repeatability of model prediction. The comparison of metrics and correlation...

2024

A deep-learning workflow for weak reflection extraction in pitch-catch measurements in cased-hole

Qiang Wang, Hua Wang, Shaopeng Shi

International Meeting for Applied Geoscience and Energy (IMAGE)

... colors are corresponding to A0+casing reflection and TIE, respectively. We use a 1-D convolution kernel M (kernel size is 256) to convolute with each...

2022

Strike-slip fault skeletonization based on deep learning cascade ant tracking method

Zhipeng Gui, Junhua Zhang, Rujun Wang, Yintao Zhang, Chong Sun, Mei Yang

International Meeting for Applied Geoscience and Energy (IMAGE)

... convolution layers in the path of receiving the encoder feature map, and the number of these convolution layers depends on pyramid-level blocks. Dense...

2024

Validating machine learning-based seismic property prediction through self-supervised seismic reconstruction

Tao Zhao, Haibin Di, Aria Abubakar

International Meeting for Applied Geoscience and Energy (IMAGE)

... at the center, and three MLpredicted traces on each side. Figure 3. The average trace-wise correlation on the validation data during three SL training...

2022

Measurement Environments Effect on DTS Surveys: A Case Study on Fiber Cable-Wellbore Coupling

Kagan Kutun, Ge Jin, Jennifer L. Miskimins

Unconventional Resources Technology Conference (URTEC)

... the history matching computation at each channel to a handful of convolution calculations and provides a significant speedup. This methodology assumes...

2021

Bi-directional LSTM-based non-causal deconvolution

G. Roncoroni, I. Deiana, E. Forte, M. Pipan

International Meeting for Applied Geoscience and Energy (IMAGE)

... traces, respectively; r(t) is a randomly distributed reflection coefficient series and n1(t) represents a random noise component added before convolution...

2024

An automatic velocity picking method based on object detection

Ce Bian, Weifeng Geng, Ping Yang, Pengyuan Sun, Guiren Xue, Haikun Lin

International Meeting for Applied Geoscience and Energy (IMAGE)

... on five feature layers with different sizes, so as to realize accurate recognition of small and multi-scale objects. In this paper, both the convolution...

2022

Adaptive regularization parameter estimation in image domain least-squares migration

Shen Sheng, Huazhong Wang

International Meeting for Applied Geoscience and Energy (IMAGE)

... image domain LSM. = Fx * rlocal , i where * denotes convolution operator, rlocal is the active local patch of the full model r . By introducing...

2024

< Previous   3   4   5   6   7   Next >