Reservoirs serve as important facilities, providing a stable source of public water in Taiwan. As construction of new reservoirs becomes more difficult, it is essential to ensure sustainable functionality of reservoirs in the future. To this end, this study proposes a system for reservoir sustainability evaluation. The evaluation system consists of social justice, environmental protection, and ...

This study investigates the effectiveness of a sensitivity-informed method for multi-objective operation of reservoir systems, which uses global sensitivity analysis as a screening tool to reduce computational demands. Sobol’s method is used to screen insensitive decision variables and guide the formulation of the optimization problems with a significantly reduced number of decision variables. ...

The Lake Habitat Survey (LHS) method has only been applied once in a tropical African reservoir and could potentially be a useful tool for hydromorphological impact assessments. This study (October 2012) tested the application of the LHS method to two Zimbabwean reservoirs, Cleveland and Chivero, which are impacted differently by human activities within their catchments with varying levels of p...

We analyzed Chlorophyll-a and CDOM dynamics from field measurements and 17 assessed the potential of multispectral satellite data for retrieving water-quality parameters in 18 three small surface reservoirs in the Brazilian semiarid region. More specifically, this work 19 comprises i) analysis of Chl-a and trophic dynamics; ii) characterization of CDOM; iii) estimation 20 of Chl-a and CDOM from...

Management decisions related with water quality in lakes and reservoirs require a combined land-water processes study approach. This study reports on an integrated watershed-reservoir modeling methodology: the Soil and Water Assessment Tool (SWAT) model to estimate the nutrient input loads from the watershed, used afterwards as boundary conditions to the reservoir model, CE-QUAL-W2. The integra...

Abstract This article focuses on the study of identifying quality tight sandstone reservoirs based machine learning. The learning method – Gradient Boosting Decision Tree (GBDT) algorithm is used to design and classify reservoir quality. First, it logging data, core observation, cast thin section, physical statistics. permeability, porosity, resistivity, mud content, sand-to-ground ratio, sand ...

a proper understanding of reservoir fluid phase behavior is the first crucial step in the development and production of an oil/gas field. this paper addresses the challenges and errors associated with the fluid sampling that may arise before, during and after the sampling operation. for this aim, dst and pvt data of exploration and production wells of a supergiant offshore gas condensate reserv...

through a collection of cooperative agents called ants, the near optimal solution to the multi-reservoir operation problem may be effectively achieved employing ant colony optimization algorithms (acoas). the problem is approached by considering a finite operating horizon, classifying the possible releases from the reservoir(s) into pre-determined intervals, and projecting the problem on a grap...

The Jeribe reservoir in the Jambour Oil Field is a complex and heterogeneous carbonate characterized by wide range of permeability variations. Due to limited availability core plugs most wells, it becomes crucial establish correlations between cored wells apply them uncored for predicting permeability. In recent years, Flow Zone Indicator (FZI) approach has gained significant applicability hydr...