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efficiency
Multivariable Modified Teaching Learning Based Optimization (MM-TLBO) Algorithm for Inverse Modeling of Residual Gravity Anomaly Generated by Simple Geometric Shapes
Error-Proofing Diamond Drilling and Drill Core Measurements
Ground-wire Source TEM 3D Full Time Multinary Inversion Using Adaptive Regulation
Seismic modeling and inversion using half-precision floating-point numbers
Multiple attenuation with 3D high-order high-resolution parabolic Radon transform using lower frequency constraints
Assessment Supporting the Use of Outcropping Rock Evolutionary Intensity Measures for Prediction of Liquefaction Consequences
Compressive least-squares migration with on-the-fly Fourier transforms
Weighted Goal-oriented Adaptive Finite-element For 3d Transient Em Modeling
Migration of viscoacoustic data using acoustic reverse time migration with hybrid deblurring filters
Reducing computation cost by Lax-Wendroff methods with fourth-order temporal accuracy
Computational efficient multidimensional singular spectrum analysis for prestack seismic data reconstruction
An elongated finite-difference scheme for 2D acoustic and elastic wave simulations in the frequency domain
BEAR Scotland NW trunk road maintenance: efficient management of geotechnical emergencies
Cu Q -RTM: A CUDA-based code package for stable and efficient Q -compensated reverse time migration
A comparison of small strain stiffness in till as measured by seismic refraction and barometric loading response
One-step data-domain least-squares reverse time migration
Superresolution imaging using resonant multiples
Reservoir monitoring using borehole radars to improve oil recovery: Suggestions from 3D electromagnetic and fluid modeling
The challenge of unbiased application of risk analysis towards future profitable exploration
Abstract We illustrate how the combination of both ‘backward-looking’ and ‘forward-looking’ perspectives serves as a powerful catalyst for profitable exploration. The phrase ‘backward-looking’ refers to a company's discipline to rapidly learn from their past performance. The process utilizes tracking predictive performance to focus on patterns from exploration parameter results relative to forecasts. The learnings are implemented through technology applications and improved forecasts that can lead ultimately to a more predictive (i.e. calibrated) portfolio. This discipline may be viewed as time-consuming, but is a critical part of the role of a professional. Often we observe that a calibrated state of accurately estimating the chance of success was achieved before a company reached a calibrated state of prospect pre-drill size prediction. The phrase ‘forward-looking’ here refers to a company's ability to conduct three tasks. First, exploration from a play perspective that quantifies candidate plays in a comparative sense. Second, integrate quantitative play analysis and an understanding of their risk-tolerance levels in order to build comprehensive models of how different plays can compete to best accomplish the goals of corporate strategy. Third, to apply the same discipline of unbiased, calibrated estimation to the characterization of prospects as they are technically matured to the drill-ready state.