Modelización de la inundación química de yacimientos petrolíferos

Se desarrollan dos modelos que predicen el petróleo recuperable mediante la inyección de sustancias químicas. Ambos consideran dos fases (acuosa u oleosa) y tres componentes (agua, petróleo y especie química). El flujo es horizontal, unidimensional e incompresible. La roca tiene propiedades uniformes y puede adsorber la sustancia química. Se supone equilibrio termodinámico a través de las fases. La dispersión y los gradientes de presión capilar son despreciables y además la composición de inyección es constante. Los modelos están gobernados por un sistema de ecuaciones diferenciales parciales no lineales: la ecuación de continuidad de cada componente y la ecuación de Darcy para el flujo bifásico. En el modelo más riguroso se resuelve el sistema de ecuaciones aplicando una técnica en diferencias finitas. En el modelo más simple se adicionan restricciones con el objeto de hallar soluciones analíticas. El objetivo de este trabajo es analizar la utilidad y las limitaciones del modelo simple. Se concluye que si bien las restricciones adicionadas no responden a la realidad, el modelo simple es capaz de representar los mecanismos físicos de desplazamientos más importantes y permite obtener una primera aproximación del petróleo recuperable que es el valor máximo de la recuperación verdadera.Peer Reviewe

Solving Nonlinear Systems of Equations Via Spectral Residual Methods: Stepsize Selection and Applications

Spectral residual methods are derivative-free and low-cost per iteration procedures for solving nonlinear systems of equations. They are generally coupled with a nonmonotone linesearch strategy and compare well with Newton-based methods for large nonlinear systems and sequences of nonlinear systems. The residual vector is used as the search direction and choosing the steplength has a crucial impact on the performance. In this work we address both theoretically and experimentally the steplength selection and provide results on a real application such as a rolling contact problem

Evaluating the use of mobile collaborative augmented reality within field service networks: the case of Océ Italia–Canon Group.

The adoption of Augmented Reality (AR) technologies can make the provision of field services to industrial equipment more effective. In these situations, the cost of deploying skilled technicians in geographically dispersed locations must be accurately traded off with the risks of not respecting the service level agreements with the customers. This paper, through the case study of a leading OEM in the production printing industry, presents the challenges that have to be faced in order to favour the adoption of a particular kind of AR named Mobile Collaborative Augmented Reality (MCAR). In particular, this study uses both qualitative and quantitative research. Firstly, a demonstration to show how MCAR can support field service was settled in order to achieve information about the use experience of the people involved. Then, the entire field force of Océ Italia – Canon Group was surveyed in order to investigate quantitatively the technicians’ perceptions about the usefulness and ease of use of MCAR, as well as their intentions to use this technology

Zinc- and cadmium-isotope evidence for redox-driven perturbations to global micronutrient cycles during Oceanic Anoxic Event 2 (Late Cretaceous)

This study uses organic-rich sediments from the Tarfaya Basin, Morocco, to assess the Cd- and Zn-isotope response to dramatic global palaeoenvironmental change during the Cenomanian–Turonian interval (Late Cretaceous). These organic-rich continental-margin deposits include an expression of Oceanic Anoxic Event 2 (OAE 2, ∼94 Ma), an interval associated with the spread of low-oxygen marine environments and widespread burial of organic-rich sediments. Due to placement of the Tarfaya Basin in a region of upwelling and relatively constant local environmental conditions, the stratigraphic variations in δ114Cd and δ66Zn values largely reflect changes in the seawater isotopic composition of the sub-surface proto-North Atlantic Ocean. Positive shifts of ∼0.2–0.3‰ away from background values in δ114Cd and δ66Zn are observed during the main phase of the positive carbon-isotope excursion associated with OAE 2. These isotopic shifts are coeval with decreases in Cd/TOC and Zn/TOC ratios and thus imply that drawdown of isotopically light Cd and Zn from seawater inventories was a result of extensive burial of these metals in organic-rich marine sediments globally. Low δ66Zn values during the Plenus Cold Event, a cooler episode during OAE 2, are similar in timing and magnitude to variations found in the English Chalk (Eastbourne, UK) and support the inference of a global control on these isotopic excursions. The δ66Zn values during the Plenus Cold Event are taken to record global oxygenation, possibly including the remobilization of isotopically light Zn from continental-margin sediments. A considerably smaller change in δ114Cd values for this interval implies that the Cd- and Zn-isotope systems can provide information about slightly different environmental processes, with global seawater composition with respect to Zn also being influenced by the magnitude of oxic removal sinks and isotopically light Zn input fluxes from sediments and hydrothermal fluids

The third KV62 radar scan: Searching for hidden chambers adjacent to Tutankhamun's tomb

The existence of hidden chambers and corridors adjacent to Tutankhamun’s tomb (code name KV62) hasbeen long debated. In 2015 it was suggested that these chambers may host the as yet undiscovered burialof Nefertiti. In order to test this hypothesis, two Ground Penetrating Radar (GPR) surveys, conductedin 2015 and 2016 from inside KV62, were carried out, but gave contradictory results. To solve theseuncertainties and obtain a more confident and conclusive response, a third GPR survey was conductedby our team in February 2018. The results of this third radar scan are reported in this article. Three GPRsystems with multiple frequency bands (from 150 MHz to 3000 MHz) and very dense spatial samplingwere adopted. After careful data processing, no evidence of marked discontinuities due to the passagefrom natural rock to artificial blocking walls were found in the radargrams. It is therefore concluded thatthere are no hidden chambers immediately adjacent to the Tomb of Tutankhamun

Muon Catalyzed Fusion in 3 K Solid Deuterium

Muon catalyzed fusion in deuterium has traditionally been studied in gaseous and liquid targets. The TRIUMF solid-hydrogen-layer target system has been used to study the fusion reaction rates in the solid phase of D_2 at a target temperature of 3 K. Products of two distinct branches of the reaction were observed; neutrons by a liquid organic scintillator, and protons by a silicon detector located inside the target system. The effective molecular formation rate from the upper hyperfine state of $\mu d$ and the hyperfine transition rate have been measured: $\tilde{\lambda}_(3/2)=2.71(7)_{stat.}(32)_{syst.} \mu/s$, and $\tilde{\lambda}_{(3/2)(1/2)} =34.2(8)_{stat.}(1)_{syst.} \mu /s$. The molecular formation rate is consistent with other recent measurements, but not with the theory for isolated molecules. The discrepancy may be due to incomplete thermalization, an effect which was investigated by Monte Carlo calculations. Information on branching ratio parameters for the s and p wave d+d nuclear interaction has been extracted.Comment: 19 pages, 11 figures, submitted to PRA Feb 20, 199

A Variational Inference based Detection Method for Repetition Coded Generalized Spatial Modulation

In this paper, we consider a simple coding scheme for spatial modulation (SM), where the same set of active transmit antennas is repeatedly used over consecutive multiple transmissions. Based on a Gaussian approximation, an approximate maximum likelihood (ML) detection problem is formulated to detect the indices of active transmit antennas. We show that the solution to the approximate ML detection problem can achieve a full coding gain. Furthermore, we develop a low-complexity iterative algorithm to solve the problem with low complexity based on a well-known machine learning approach, i.e., variational inference. Simulation results show that the proposed algorithm can have a near ML performance. A salient feature of the proposed algorithm is that its complexity is independent of the number of active transmit antennas, whereas an exhaustive search for the ML problem requires a complexity that grows exponentially with the number of active transmit antennas.Comment: 11 pages, 8 figure