Suchergebnisse

Intro -- Reservoir Characterization, Modeling, and Quantitative Interpretation: Recent Workflows to Emerging Technologies -- Copyright -- Contents -- Foreword -- Chapter One: Reservoir characterization: State-of-the-art, key challenges and ways forward -- Introduction -- Challenges in reservoir property estimation -- Integrated approach for improved reservoir characterization -- Practical workflows of reservoir characterization -- Facies characterization and depositional system -- Sequence stratigraphy: Key to reservoir studies -- Geostatistics for rock and fluid properties -- Development of reservoir model -- Seismic reservoir characterization -- Reservoir studies with 4D seismic -- Microseismic monitoring for reservoir characterization -- Reservoir characterization using seismic inversion -- Seismic attribute analysis -- Rock physics for quantitative seismic analysis -- Reservoir geomechanics -- Latest developments and future prospects of reservoir characterization -- Summary -- References -- Chapter Two: 3D seismic attribute visualization and analysis for fault characterization -- Introduction -- Seismic attributes and workflow -- Dip and azimuth -- Coherence -- Curvature -- Aberrancy -- Structural interpretation workflow -- Case study -- Conclusions -- Chapter Two. References -- References -- Chapter Three: Modeling natural fracture networks and data assimilation using multipoint geostatistics and machine learni ... -- Introduction -- Description of case study -- Geomechanical inference using ML -- Overview of ML algorithm -- Application of ML algorithm to Teapot Dome -- Geostatistical inference using MPS -- MPS algorithm -- Application of MPS algorithm to Teapot Dome -- Combining geomechanical and geostatistical inferences -- Integration algorithm -- Application of integration paradigm to Teapot Dome -- Discussion and conclusion.

Abstract. This study analyzes the cause of the rare occurrence of a winter hailstorm over New Delhi/NCR (National Capital Region), India. The absence of increased surface temperature or low level of moisture incursion during winter cannot generate the deep convection required for sustaining a hailstorm. Consequently, NCR shows very few cases of hailstorms in the months of December-January-February, making the winter hail formation a question of interest. For this study, a recent winter hailstorm event on 17 January 2013 (16:00–18:00 UTC) occurring over NCR is investigated. The storm is simulated using the Weather Research and Forecasting (WRF) model with the Goddard Cumulus Ensemble (GCE) microphysics scheme with two different options: hail and graupel. The aim of the study is to understand and describe the cause of hailstorm event during over NCR with a comparative analysis of the two options of GCE microphysics. Upon evaluating the model simulations, it is observed that the hail option shows a more similar precipitation intensity with the Tropical Rainfall Measuring Mission (TRMM) observation than the graupel option does, and it is able to simulate hail precipitation. Using the model-simulated output with the hail option; detailed investigation on understanding the dynamics of hailstorm is performed. The analysis based on a numerical simulation suggests that the deep instability in the atmospheric column led to the formation of hailstones as the cloud formation reached up to the glaciated zone promoting ice nucleation. In winters, such instability conditions rarely form due to low level available potential energy and moisture incursion along with upper level baroclinic instability due to the presence of a western disturbance (WD). Such rare positioning is found to be lowering the tropopause with increased temperature gradient, leading to winter hailstorm formation.

Human dimensions of climate change (HDCC) research overwhelmingly presents community perspectives on climate change and its impacts through single epistemic frameworks. This limits the possible platforms that community voices can access within scientific scholarship. Many HDCC interdisciplinary collaborations pursue the goal of data triangulation and attempt to address complex social-ecological problems through analytical integration. This raises questions about the comparative validity of different epistemologies and often leads to unequal power sharing between the different disciplinary practitioners. Our research addresses both of these issues by operationalizing a plural epistemological framework that depends on parallel analysis. This framework consists of a quantitative approach, inspired by hazards theory and land-change science research, and a qualitative approach, from political ecology. We explored perceptions of climate change in rural households in Uttarakhand in the Indian Himalayan region. While the results reveal a high awareness of climate change within the community, most individuals and households do not consider the impacts of climate change to be a significant worry. The results for each approach complement each other. They provide the community with more than one platform to voice their experiences and reveal the complex relationships producing climate change knowledge in the region. Future research should attempt such parallel analysis in other locations to validate its utility in addressing issues of equity and marginalization between research epistemologies, as well as between experts and local communities.

This study was partially supported by core funds of ICIMOD contributed by the governments of Afghanistan, Australia, Austria, Bangladesh, Bhutan, China, India, Myanmar, Nepal, Norway, Pakistan, Sweden, and Switzerland. AO was supported by funding from the National Environmental Research Council (NERC) National Capability Overseas Development Assistance under the grant 'Polar expertise –Supporting development' (NE/R000107/1). ; River systems originating from the Upper Indus Basin (UIB) are dominated by runoff from snow and glacier melt and summer monsoonal rainfall. These water resources are highly stressed as huge populations of people living in this region depend on them, including for agriculture, domestic use, and energy production. Projections suggest that the UIB region will be affected by considerable (yet poorly quantified) changes to the seasonality and composition of runoff in the future, which are likely to have considerable impacts on these supplies. Given how directly and indirectly communities and ecosystems are dependent on these resources and the growing pressure on them due to ever-increasing demands, the impacts of climate change pose considerable adaptation challenges. The strong linkages between hydroclimate, cryosphere, water resources, and human activities within the UIB suggest that a multi- and inter-disciplinary research approach integrating the social and natural/environmental sciences is critical for successful adaptation to ongoing and future hydrological and climate change. Here we use a horizon scanning technique to identify the Top 100 questions related to the most pressing knowledge gaps and research priorities in social and natural sciences on climate change and water in the UIB. These questions are on the margins of current thinking and investigation and are clustered into 14 themes, covering three overarching topics of 'governance, policy, and sustainable solutions', 'socioeconomic processes and livelihoods', and 'integrated Earth System processes'. Raising awareness of these ...