Abstract In order to solve the problems of low matching accuracy, slow speed and high system overhead in image methods, a rotation binary descriptor construction method based on Speed Up Robust Features (SURF) feature point detection is designed by using different Fast Library for Approximate Nearest Neighbors (FLANN) parameters filtering mechanism screen out wrong matches according types descr...

Two geostatistical methods for history matching are presented. Both rely on the sequential simulation principle for generating geologically sound realizations. The first method relies on perturbing the sequential simulation through the perturbation of the conditional distribution models; the second method relies on the perturbation of random numbers. We show that both approaches are general in ...

The FAST gadget development environment allows users to graphically compose intelligent, i.e., semantically annotated gadgets from predefined building blocks and deploy them on various mashup platforms, thus enabling the interconnection of different systems and services. In an environment where different parties use different ontologies to describe such building blocks, ontology matching is cru...

Production forecasting is the basis for decision making in oil and gas industry, can be quite challenging, especially terms of complex geological modeling subsurface. To help solve this problem, assisted history matching built on ensemble-based analysis such as ensemble smoother Kalman filter useful estimating models that preserve realism have predictive capabilities. These methods tend, howeve...