Modern reservoir management typically involves simulations of geological models to predict future recovery estimates, providing the economic assessment of different field development strategies. Integrating reservoir data is a vital step in developing reliable reservoir performance models. Currently, most effective strategies for traditional manual history matching commonly follow a structured approach with a sequence of adjustments from global to regional parameters, followed by local changes in model properties. In contrast, many of the recent automatic history matching methods utilize parameter sensitivities or gradients to directly update the fine-scale reservoir properties, often ignoring geological inconsistency. Therefore, there is need for combining elements of all of these scales in a seamless manner. We present a hierarchical streamline-assisted history matching, with a framework of global-local updates. A probabilistic approach, consisting of design of experiments, response surface methodology and the genetic algorithm, is used to understand the uncertainty in the large-scale static and dynamic parameters. This global update step is followed by a streamline-based model calibration for high resolution reservoir heterogeneity. This local update step assimilates dynamic production data. We apply the genetic global calibration to unconventional shale gas reservoir specifically we include stimulated reservoir volume as a constraint term in the data integration to improve history matching and reduce prediction uncertainty. We introduce a novel approach for efficiently computing well drainage volumes for shale gas wells with multistage fractures and fracture clusters, and we will filter stochastic shale gas reservoir models by comparing the computed drainage volume with the measured SRV within specified confidence limits. Finally, we demonstrate the value of integrating downhole temperature measurements as coarse-scale constraint during streamline-based history matching of dynamic production data. We first derive coarse-scale permeability trends in the reservoir from temperature data. The coarse information are then downscaled into fine scale permeability by sequential Gaussian simulation with block kriging, and updated by local-scale streamline-based history matching. he power and utility of our approaches have been demonstrated using both synthetic and field examples.

Polymer electrolyte membrane (PEM) fuel cells are being studied for use as high efficiency power plants in alternative fuel vehicles. To maintain high efficiency the operating temperatures of the membranes in these fuel cells must be closely monitored and controlled. However, the environment inside of the fuel cell is not favorable for traditional temperature sensing, so a new optical-fiber-based, distributed temperature sensor was proposed to address this need. This thesis investigates the properties of neodymium-doped optical fiber for use as a distributed temperature sensor for PEM fuel cells. The optical absorption spectrum was measured to identify the energy band structure and determine upconversion excitation schemes. The temperature coefficient of the Nd³⁺-doped silica fiber fluorescence decay time was measured for several bands of emission. Finally, two-photon upconversion was attempted from the lower excited states of Nd:YAG and Nd:silica. / Graduation date: 2012

EDF souhaite utiliser la technologie de mesure de température répartie par capteur à fibre optique utilisant l’effet Raman pour réaliser des cartographies de température de certains composants de centrales nucléaires. Les conditions environnementales auxquelles le capteur à fibre optique est soumis sont particulièrement agressives (température de 350 °C et rayonnements gamma ionisants). Les rayonnements ionisants sont responsables de la création de défauts structurels au cœur de la fibre, qui atténuent sa transmission lumineuse, et dont les effets engendrent une erreur de mesure de température pouvant aller jusqu'à l’interruption totale de la mesure. La haute température, quant à elle, dégrade le revêtement protecteur de la fibre optique, ce qui la fragilise mécaniquement. Des irradiations gamma in situ sur des fibres optiques multimodes commerciales à revêtement or protégées par une gaine en acier inoxydable ont été réalisées, à l’aide de deux sources de rayonnements différentes, pour observer l'atténuation radio-induite du capteur à fibre optique en fonction du débit de dose et de la dose cumulée. Les effets du rayonnement à température ambiante, puis à haute température, ont été observés. Ce travail expérimental démontre que la haute température peut être maîtrisée grâce à une fibre à revêtement or, et que la haute température est bénéfique contre l’atténuation de la fibre engendrée par l’irradiation. La mise en œuvre de capteur de température à fibre optique en environnement sévère devient possible, ainsi que l’estimation des incertitudes sur la mesure associée. / EDF is working on Raman distributed temperature sensing using optical fiber sensors in order to map temperature of nuclear power plants big components. The sensor has to sustain harsh environmental conditions (temperatures up to 350 °C and gamma ionizing radiations). Ionizing radiations can create structural defects inside the fiber’s core, which attenuate the light transmission. This phenomenon can lead to temperature measurements errors until no measurement is possible. As for high temperature, it can affect the fiber coating, which mitigate the fiber mechanical resistance.Gamma rays in situ irradiations have been carried out over commercial off-the-shelf multimode gold coated fibers protected with a stainless steel metal tubing, with two different radiation sources, in order to observe radiation-induced attenuation over dose rate or cumulated dose. Effects of gamma rays over gold coated optical fiber sensors have been observed at both room anhigh temperature.This experimental work enlightens that high temperature can be controlled with gold coated fibers, and that the radiation-induced attenuation downsides can efficiently be balanced with high temperature. Implementation of a Raman distributed temperature optical fiber sensor in such harsh environments becomes possible, as well as the associated estimation of measurement uncertainty.

[pt] Diferentes tipos de lasers podem ser usados para gerar pulsos de luz com uma ampla faixa de durações de pulso, energias e potências de pico. As técnicas de Q-switching e mode-locked são relatadas há anos por vários autores e pesquisadores e são frequentemente utilizadas na geração de lasers de pulso ultracurto com duração de pulso no domínio do tempo na faixa de nanossegundos até femtossegundos. Uma configuração, com ganho fornecido por um amplificador óptico semicondutor (SOA) e amplificador de fibra dopada com érbio (EDFA) é proposta e emprega a técnica de gerenciamento de dispersão para gerar um trem de pulsos ópticos exibindo alta potência de pico, taxa de repetição ultra-baixa e largura temporal curta, habilitando que este laser seja usado como uma fonte para aplicações de alta resolução em reflectometria óptica no domínio do tempo (OTDR). A operação mode-locked é conhecida por ocorrer apenas em lasers ordenados padrão por um longo tempo e até recentemente foi encontrado também em lasers de fibra aleatórios desordenados (RFL). Embora tenha havido progresso no sentido de travar modos espaciais e longitudinais em lasers aleatórios, a literatura carece de relatos sobre geração de pulsos limitada por transformada de Fourier, apesar das muitas décadas de campo. O autor demonstra experimentalmente um mode-locked random fiber laser (MLRFL) operando como um refletômetro óptico de domínio do tempo sensível à fase. Aqui, a saída total do laser fornece o sinal de detecção, em contraste com o pequeno sinal retroespalhado medido em um OTDR convencional. O laser opera como um sensor acústico distribuído (DAS) e sensor de temperatura distribuído (DTS). / [en] Different types of lasers can be used to generate light pulses with a wide range of pulse durations, energies and peak powers. Q-switching and mode-locked techniques have been reported for years by several authors and researchers and are frequently used in the generation of ultra-short-pulse lasers with time-domain pulse durations from the nanosecond to femtosecond range. A configuration, with gain provided by a semiconductor optical amplifier (SOA) and erbium-doped fiber amplifier (EDFA) is proposed and employ the dispersion management technique to generate a train of optical pulses exhibiting high-peak-power, ultralow repetition rate, and fast temporal width, enabling this laser to be used as a source for high-resolution optical time domain reflectometer (OTDR) applications. The mode-locking operation has been known to occur only in standard ordered lasers for a long time and until recently it was found to also occur in disordered random fiber lasers (RFL). Although progress has been made towards locking spatial and longitudinal modes in random lasers, the literature lacks reports on Fourier transform-limited pulse generation despite the many decades of the field. The author experimentally demonstrates a mode-locked random fiber laser (MLRFL) operating as a lasing phase-sensitive optical time domain reflectometer based on random feedback from a sensing fiber. Here, the full output of the laser provides the sensing signal, in contrast to the small backscattered signal measured in a conventional OTDR. The laser operates as a distributed acoustic sensor (DAS) and distributed temperature sensor (DTS).