Geophysical Anomaly: A Novel Contribution to Integrated Geophysical Interpretation, #42337 (2018).

Julio Lyrio, Paulo Menezes, Jorlivan Correa, Adriano Viana,

Search and Discovery.com

... of the logistic function σ is: σ (x)= L −ks ( x−x0 ) 1+e where e is the natural logarithm base, x0 is the x-value of the sigmoid inflection point, L...

A Comparison of Fractal Methods for Evaluation of Hydraulic Fracturing Surface Roughness

Abbas Movassagh, Xi Zhang, Elaheh Arjomand, Manouchehr Haghighi

Australian Petroleum Production & Exploration Association (APPEA) Journal

.... This method predicts the dimension for synthetic surface within an error of less than 1%, considering a wide range of surface heights from centimetres down...

New perturbation-based traveltime approximation for elastic VTI media

Shibo Xu, Alexey Stovas, Xingguo Huang

International Meeting for Applied Geoscience and Energy (IMAGE)

... higher accuracy than that of the GMA counterpart for P- and S-waves. The error sensitivity of P- and S-waves in vertical velocity ratio and the value...

Bima Field Reservoir Management System

G. C. Bihn, A. N. E. Sumantri, Harnusa Sakirman

Indonesian Petroleum Association

... for the BIMA field through the development of the Reservoir Management System (RMS). Its utility is provided not only by addressing the critical...

ROAD LOG: RMS Field Trip #1: Nye-Bowler Lineament/Beartooth Front

Vince Ames, John Grauman

Montana Geological Society

...ROAD LOG: RMS Field Trip #1: Nye-Bowler Lineament/Beartooth Front Vince Ames, John Grauman 1991 0 45 TABLE OF CONTENTS...

ABSTRACT: Reservoir Prediction from Hydrocarbon Migration Using RMS Amplitude; #90013 (2003)

Stuart Bland, Dan Hodge, Delphine Roques

Search and Discovery.com

...ABSTRACT: Reservoir Prediction from Hydrocarbon Migration Using RMS Amplitude; #90013 (2003) Stuart Bland, Dan Hodge, Delphine Roques AAPG Search...

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Diffraction separation based on envelop and optimized stacking

Wentao Mu, Weiyi Zhang, Jianlei Zhang, Zhenping Tian

International Meeting for Applied Geoscience and Energy (IMAGE)

... using envelop to reduce the error caused by cycle skipping while detecting the Fresnel zone and calculating weighing coefficient to enhance diffraction...

The impact of estimated temporal and spatial variability of water layer velocity on the correction of OBS data

Peter Scholtz, Truong Nguyen, Arash Jafar Gandomi

International Meeting for Applied Geoscience and Energy (IMAGE)

... direction (field geometry error in the source position caused by drag on the source during towing), or we can opt for a solution that is sail-line...

The Application of PSDM VTI Method to Generate a Velocity Model That Can Solve the Mistacking Problem

Aulia Ahmad Nafis, Hasan Nurudin, Ikhsan Hanurogo, Bagus Sapto M, Ahmad Zaenudin

Indonesian Petroleum Association

... gather and gamma synthetic as the controlling factors shows less error, after that the final velocity model is used for depth migration process to compare...

3D velocity model building based upon hybrid neural network

Herurisa Rusmanugroho, Junxiao Li, M. Daniel Davis Muhammed, Jian Sun

International Meeting for Applied Geoscience and Energy (IMAGE)

... score and structural similarity index (SSIM). The RMS error (Rusmanugroho and McMechan, 2012) is used to evaluate the predicted shot gathers. The hybrid...

Analysis of Sonic Well Logs Applied to Erosion Estimates in the Bighorn Basin, Wyoming

Henry P. Heasler , Natalya A. Kharitonova

AAPG Bulletin

.... Consequently, average absolute value (AAV) and root mean square (RMS) were used to quantify the error of the logarithmically transformed sonic data...

Application of Seismic Attributes and Neural Network for Sand Probability Prediction „ A Case Study in the North Malay Basin

Jianyong Hou, Toshihiro Takahashi, Arata Katoh, Suwit Jaroonsitha, Khun Puvanat Chumsena, Kazuo Nakayama

Geological Society of Malaysia (GSM)

... to the experiences, a RMS error below 0.8 is considered generally to be reasonable. The right lower figure in the Figure 7 shows the decay...

Use of Volume-Based 3-D Seismic Attribute Analysis to Characterize Physical-Property Distribution: A Case Study to Delineate Sedimentologic Heterogeneity at the Appleton Field, Southwestern Alabama, U.S.A.

Juliana M. Tebo, Bruce S. Hart

Journal of Sedimentary Research (SEPM)

... the inversion results and well data might be suspect. The PNN-trained relationship with four attributes provided a correlation of 93%, with RMS error...

Elastic FWI for joint Vp, Vs and density inversion

Peng Shen, Uwe Albertin, Hermes Malcotti, Josh Haataja

International Meeting for Applied Geoscience and Energy (IMAGE)

... be written as ∂t v σ = b 0 0 C 0 ∇v ∇h 0 v σ + 0 . f (1) 1 Here b = ρ is the buoyancy and ρ is the density, v is the particle velocity, σ...

Synthetic Seismic Validation of Reservoir Models of the Carbonate Gas Fields in Offshore Sarawak, Malaysia; #41087 (2012)

Alexander David Kayes

Search and Discovery.com

...: Log Data color filled with Model Data in black ROCK3D SYNTHETIC GENERATION COMPARE TWT THICKNESS and RMS AMPLITUDE C V TWT CONVERSION (Vpsat from...

Application of accurate sedimentology interpretation method based on cost function in reservoir characterization

Huihuang Tan, Xinyi Duan, Xiaojie Zhang, Wei Gao

International Meeting for Applied Geoscience and Energy (IMAGE)

...), p(j) are the UTM osition of the points I and j. σ is the size of grid’s cell, and Dst(Vi, Vj) is seismic vector distance between points I and j...

Quantifying the Benefit from Pressure Gradient Data in Wavefield Reconstruction for Time-Lapse Seismic, #40843 (2011)

Phil Christie, Kurt Eggenberger, Everhard Muyzert, Massimiliano Vassallo, Ali Özbek

Search and Discovery.com

... vintage and across the two time-lapse vintages: the former examines only the reconstruction error while the latter estimates the total time-lapse non...

Hypogene Evaporite Karst Geohazards: Implications for Energy Sector Infrastructure in the Delaware Basin, USA

K. W. Stafford, W. A. Brown, L. D. Perkins

GCAGS Transactions

... resistivity profile (RMS [Root Mean Square] error = 8.16%) and associated interpretation, including dense and porous calcitized breccia in relation to gypsum...

Shallow Temperatures and Thermal Regime in the Hydrocarbon Province of Tierra del Fuego

Gary W. Zielinski , Peter M. Bruchhausen

AAPG Bulletin

... (RMS) error in fit for a particular µ is taken to indicate the correct solution. That value of µ is interpreted as the weighted average thermal...

Oil Saturation Log Prediction Using Neural Network in New Steamflood Area

Ahmad Syahputra

Indonesian Petroleum Association

... data for testing the model. As the result of neural model testing, R2 is score 0.86 with RMS 5% oil saturation. In this testing step, oil saturation...

Estimation of Reservoir Fluid Saturation from 4D Seismic Data: Effects of Noise on Seismic Amplitude and Impedance Attributes

Rafael Souza, David Lumley, Jeffrey Shragge

Petroleum Exploration Society of Australia (PESA)

... with a relationship between water saturation and reflection coefficients. Figure 5 presents the RMS error versus S/N levels for the changes in amplitude and impedance...

Quantitative seismic interpretations to detect biogenic gas accumulations: a case study from Qaidam Basin, China

Yexin Liu, Zhuoheng Chen, Liqun Wang, Yongshu Zhang, Zhiqiang Liu, Yanhua Shuai

CSPG Bulletin

...] as the following general formula, in which a set of constraints will be considered: (3) minimum Σ f i ( x ) , i = 1 , … , N subject...

Full Spectrum Gravity --- Improving AGG Data Quality at Both Ends of the Spectrum

Chris van Galder, Mark Dransfield

Petroleum Exploration Society of Australia (PESA)

... wavelengths as stabilized platform systems. With a repeatability of 0.71 mGal RMS at 300 s filtering, it is ideally suited to augment the long wavelength...

Time Depth Conversion of a Prospect With Near-Surface Velocity Anomalies Using Stacking Velocites and PSDM Velocities: A Comparison

Tan Boon Hua, Lothar Schulte

Indonesian Petroleum Association

... error analysis of both models (stacking velocities & PSDM velocities) using the 'blind well test' showed that the PSDM based model delivered...