Geophysical investigation of mine waste in the King River Delta, Macquarie Harbour, Tasmania

Matthew J. Cracknell, Sibele C. Nascimento, Wei Xuen Heng, Anita Parbhakar-Fox, Thomas A. Schaap

Petroleum Exploration Society of Australia (PESA)

... image of central west Tasmania showing KRD study site. Figure 4. KRD Line 1 Vp (3.08 ms RMS error), Vs (4.46–9.06 ms average model error) and apparent...

An assessment of the hydrogeological conditions beneath an unlined municipal and an engineered landfill sites in Malaysia using Numerical Groundwater Flow Models - Case study

Mustapha Atta, Abd Rasid Jaapar, Dharam Singh, Wan Zuhairi Wan Yaacob

Geological Society of Malaysia (GSM)

... A) with normalized RMS of 0.72 % and mean error of estimate of 1.37 (m). The transient state model calibration (Site B) was accepted with correlation...

Rapid History Matching of Petroleum Production from Well Logs and 4D Seismic via Machine Learning Techniques in the Norne Field, Offshore Norway

Jones Ebinesan, Greg Smith, Ritu Gupta

Australian Petroleum Production & Exploration Association (APPEA) Journal

... reservoir models using R-Squared, RMSE (root-mean-square error) and MAPE (mean absolute percentage error) indicated the random forest technique gave...

Lithostratigraphic Interpretation of Seismic Data for Reservoir Characterization; #90017 (2003)

Mahesh Chandra, A. K. Srivastava, V. Singh, D. N. Tiwari, P. K. Painuly

Search and Discovery.com

... operator was used. The average rms training error is computed taking all the wells into consideration. The validation error is computed by hiding one well...

Abstract: Refinement of Arrival-Time Picks Using an Iterative, Cross-Correlation Based Workflow; #90224 (2015)

Jubran Akram and David W. Eaton

Search and Discovery.com

... to evaluate the performance of the proposed workflow. The initial arrival-time picks, polarity and amplitudes are perturbed randomly and an error analysis...

The Bauer Field, Cooper/Eromanga Basin: Case Study of a Low-Relief, High-Productivity Oil Field, #110225 (2016).

Glen Buick

Search and Discovery.com

... -0.9 1335.82 -0.4 BAUER 22 1334.64 1338.32 -3.7 1335.49 -0.9 BAUER 23 1333.73 1338.85 -5.2 1336.77 -3.0 RMS ERROR (m) 2.9 1.7 AAPG...

Shortwave infrared (1.0–2.5 μm) hyperspectral imaging of the Athabasca West Grand Rapids Formation oil sands

Michelle Speta, Benoit Rivard, and Jilu Feng

AAPG Bulletin

... for the calibration data set agree reasonably well with the Dean–Stark data (R2 = 0.80, root-mean-square [RMS] error = ±1.02 wt. %; Figure 7A...

Application of Overburden Amplitude Variations to Constrain Hydrocarbon Column Heights in the Hammerfest Basin, Norwegian Barents Sea

Lidia Georgescu, Christian Hermanrud, Roar Heggland, Trine Helle Simmenes

AAPG Special Volumes

... easily mappable due to a clear and positive acoustic impedance contrast. The error that was introduced by this approach is 1–30 m (3.3–98 ft) in well...

Quantifying Proppant in the SRV Along a Fractured Well at the Hydraulic Fracturing Test Site: A Proppant Log Case Study from Permian-Delaware Basin

Debotyam Maity, Jordan Ciezobka

Unconventional Resources Technology Conference (URTEC)

... treatment well (B3H). The rms error for this model was low at ~ 60 psi. Fig. URTeC 3704106 10 10b shows predictor importance values where only proppant...

The Effects of Seismic Data Conditioning on Pre-Stack Simultaneous Impedance Inversion

Scott W. Singleton

GCAGS Transactions

... by high resolution estimation of the 2nd and 4th order root mean square (RMS) velocity field (Swan, 2001). Statics-based methods assume local...

Total Organic Carbon Content Estimation of Bakken Formation, Kevin-Sunburst Dome, Montana using Post-Stack Inversion, Passey (DLogR) Method and Multi-Attribute Analysis

Silas Adeoluwa Samuel, Rui Zhang

Unconventional Resources Technology Conference (URTEC)

... Square (RMS) average of the individual errors corresponds to the total validation error (Hampson et al., 2001). The validation error for any number...

Use of extended source inversion for estimating the noise level in seismic data

Huiyi Chen, William W. Symes, Susan E. Minkoff

International Meeting for Applied Geoscience and Energy (IMAGE)

... to the tendency of gradient-based optimization to stagnate at uninformative models far from RMS error minimizers. As is well-known, this “cycle-skipping...

Extended Abstract: RMSflowsim Released In September

PESA Staff

Petroleum Exploration Society of Australia (PESA)

... recently announced the release of the module RMSflowsim, a black o il simul ator w ithin the lrap RMS portfolio. The total integration reduces the need...

Geostatistical and Flow Modeling of Intrareservoir Mudstones

Christopher D. White

Special Publications of SEPM

...) where γ is the semivariogram and σ 2 is the variance. Algorithms to compute and use covariances for reservoir modeling are presented in Deutsch...

Growth and demise of a Paleocene isolated carbonate platform, northwest Sirte Basin, Libya: Sequence stratigraphic architecture and controlling factors

Muneer Abdalla, Wan Yang, and Salah Shaniba

AAPG Bulletin

... the reflectivity strength and is used to emphasize the continuity of events on a seismic section. The root mean square (RMS) attribute was used to characterize...

Deep learning seismic full-waveform inversion and transient EM joint inversion for near surface velocity modeling

Daniele Colombo, Ernesto Sandoval-Curiel, Ersan Turkoglu, Weichang Li

International Meeting for Applied Geoscience and Energy (IMAGE)

... to the training the TEM dataset, such as in a joint inversion fashion, provides further reduction of the model RMS error and represents the best...

Azimuthal Variations in Reflection Seismic Data: Measurements Governed by the In-Situ Horizontal Stress Field and/or Vertical Aligned Fractures

Heloise B. Lynn, Walter S. Lynn

West Texas Geological Society

... of uncertainty, is the goodness of fit of the velocity ellipse (the “error” in the RMS velocity azimuthal variation). Figure 8 shows the co-rendering...

Deep adversarial multiview clustering network for unsupervised seismic facies analysis

Hanpeng Cai, Xiuyi Zou, Yuting Zhao, Sheng Zhang, Tengyu Wang

International Meeting for Applied Geoscience and Energy (IMAGE)

..., ℒ 𝐴𝐸 stands for the mean square error between the generated sample and the real sample. ℒ 𝐺𝐴𝑁 shows the correctness of discriminator...

A Comprehensive Water Saturation Model for Low-Porosity Sandstones, #40445 (2009)

Darrell Hoyer

Search and Discovery.com

... RMS AAPG - 2008 Hoyer Petrophysics, Inc. 25 30 Piceance Basin Rulison vs. Mamm Creek EUR vs. Lithseis PHIE*H (PHIE > 0.08) Rulison Mamm Creek...

Abstract: Seismic attributes associated with thin channel and crevasse splays sand identification

Ng Tong San, Redhani

Geological Society of Malaysia (GSM)

... is the root-mean-square value (RMS). The quality of the RMS map is counterchecked with the maximum negative and absolute value map. The reference seismic...

Abstract: Seismic Attributes Analysis of Deep Reservoir in Erb West Field (Poster 7)

Wan Ismail Wan Yusoff, M. Firdaus A. Halim, Juhari Ismail

Geological Society of Malaysia (GSM)

... with the seismic expressions. Several seismic attributes, such as RMS Amplitudes and Mean Amplitudes, were extracted and analysed for the respective fluid...

Abstract: Integrated Method for PAYTHICK Calibration in Plio-Pleistocene Slope Sediments, Offshore Texas, Gulf of Mexico, by R. W. Hanna, D. J. Reynolds, J. P. Horkowitz, and W. G. Dillon; #91004 (1991)

Search and Discovery.com

ABSTRACT: Azimuthal PSDM Residual Moveout Volume Scanning for Fracture Detection in a Structurally Complex Environment, by Sliz, Krzysztof K.; Jiao, Jianwu; #90141 (2012)

Search and Discovery.com

The Success Application of Weighted Stack AVO Attribute for Feature Imaging in Horst Trend Area, Arthit Field, Thailand; #20341 (2016)

Ratchadaporn Uttareun, Phansakorn Kaewprain, Prang Sinhabaedya, Noppadol Boonsawang, Helge Ivar Sognnes, Kittipong Srisuriyon

Search and Discovery.com

... uncertain. This is due to the fact that seismic amplitude attributes extracted from the conventional 3D seismic data, such as RMS amplitude and coherency...

ABSTRACT: The Source of the Coal in the Titanic and Effects of Exposure to Seawater

Curtis A. Palmer, Robert B. Finkelman, Gerald H. Luttrell, Chaosheng Zhang, Cortland Eble

The Society for Organic Petrology (TSOP)

... of the coal retrieved from the wreck of the Titanic were obtained through the curator of RMS Titanic, Inc. The pieces were selected by the curator...