Search
Search Results
-
Geodetic first order data assimilation using an extended Kalman filtering technique
The poor horizontal reference frame in Nigeria lacks the integrity of a twenty-first century geodetic frame because the traditional techniques, which...
-
Factor graph optimization-based multi-GNSS real-time kinematic system for robust and precise positioning in urban canyons
Recently, the factor graph-based global navigation satellite systems (GNSS) positioning methods have attracted much attention for more robust...
-
RETRACTED ARTICLE: Agricultural super green image segmentation method based on Gaussian mixture model combined with Camshift
The Gaussian mixture model is used to determine the coordinate distribution curve of the image gray value. The distribution probability value and...
-
Instrument of Choice: GNSS
This chapter serves as an in-depth exploration of the Global Navigation Satellite System (GNSS), dissecting its space, ground, and user segments. It...
-
Research on the UWB/IMU fusion positioning of mobile vehicle based on motion constraints
In a non-line-of-sight (NLOS) environment, high accuracy ultra-wideband (UWB) positioning has been one of the hot topics in studying indoor...
-
A robust adaptive iterative ensemble smoother scheme for practical history matching applications
Much of the recent work on history matching reservoir models has focused on the iterative Ensemble Smoother (iES) method. This is well suited for...
-
A natural Hessian approximation for ensemble based optimization
A key challenge in reservoir management and other fields of engineering involves optimizing a nonlinear function iteratively. Due to the lack of...
-
Unsupervised Constraint for Hydrologic Data Assimilation
The standard ensemble data assimilation schemes often violate the dynamical balances of hydrological models, on their estimates, in particular, the...
-
Toward high-quality magnetic data survey using UAV: development of a magnetic-isolated vision-based positioning system
Precise positioning is a prerequisite for airborne high-quality magnetic data surveying. Modern airborne magnetic surveying platforms are usually...
-
Closed-loop stochastic oilfield optimization for hedging against geologic, development, and operation uncertainty
Development and management of oilfields involve several sources of uncertainty that complicate an already challenging decision-making process. Two...
-
Formulating the history matching problem with consistent error statistics
It is common to formulate the history-matching problem using Bayes’ theorem. From Bayes’, the conditional probability density function (pdf) of the...
-
Ensemble-based stochastic permeability and flow simulation of a sparsely sampled hard-rock aquifer supported by high performance computing
Calibrating the heterogeneous permeability distribution of hard-rock aquifers based on sparse data is challenging but crucial for obtaining...
-
Multiple shooting applied to robust reservoir control optimization including output constraints on coherent risk measures
The production life of oil reservoirs starts under significant uncertainty regarding the actual economical return of the recovery process due to the...
-
Calibration of categorical simulations by evolutionary gradual deformation method
Methods to simulate facies (or categorical) fields are numerous. However, calibration of simulated facies fields to large-scale or dynamic data still...
-
Sequential mean shift algorithms for space–time point data
Principal component mean shift (PCMS) algorithms are well-established methods for denoising and smoothing manifold data. Main fields of application...
-
Bayesian estimation of reservoir properties—effects of uncertainty quantification of 4D seismic data
This paper shows a history matching workflow with both production and 4D seismic data where the uncertainty of seismic data for history matching...
-
An iterative version of the adaptive Gaussian mixture filter
The adaptive Gaussian mixture filter (AGM) was introduced as a robust filter technique for large-scale applications and an alternative to the...
-
Iterative Bayesian inversion with Gaussian mixtures: finite sample implementation and large sample asymptotics
Approximate solutions for Bayesian estimation in large scale models is a topic under investigation in many scientific communities. We define an...
-
Multipath mitigation and NLOS detection using vector tracking in urban environments
Multipath interference and non-line-of-sight (NLOS) reception are major error sources when using global navigation satellite systems in urban...
-
Waterflooding optimization in uncertain geological scenarios
In conventional waterflooding of an oil field, feedback based optimal control technologies may enable higher oil recovery than with a conventional...