In long-term performance analyses of water systems with surface reservoirs for different operating scenarios, the analyst (or decision maker) is faced with two connected problems: (1) how to handle the extensive output of the simulation model and derive information on the scenarios scores for a prescribed set of performance criteria, and (2) how to compare scenarios in a multi-criterial sense w...

Hydrochloric acidizing is a routine operation in oil fields to reduce the mechanical skin. In this paper, practical acidizing in a typical carbonate oil reservoir located in the southwest of Iran is practiced, which shows an unexpected improvement after acidizing. To understand the acidizing effect on reservoir rock, the formation rock is analyzed on different scales. An acidizing laboratory te...

in this paper, a new continuous ant colony optimization (caco) algorithm is proposed for optimal reservoir operation. the paper presents a new method of determining and setting a complete set of control parameters for any given problem, saving the user from a tedious trial and error based approach to determine them. the paper also proposes an elitist strategy for caco algorithm where best solut...

Reliability, resiliency, and vulnerability criteria are formulated as risk-based performance measures for the evaluation of a real-time reservoir operation model. The reservoir operation model includes a multi-objective compromise programming algorithm to select, in real time, an optimal operating horizon for the reservoir operation. The utility of the risk-based performance criteria for compar...

Reliable and sufficient welltest data is necessary for the evaluation of reservoir properties and well performance. Best results a r e usually obtained by monitoring downhole pressure and flow rate continuously during a transient test. However, a recurring problem for geothermal welltests has been the failure of the downhole pressure instrument in the high temperatures and hostile environments,...

Reservoir computing approaches have been successfully applied to a variety of tasks. An inherent problem of these approaches, is, however, their variation in performance due to fixed random initialisation of the reservoir. Self-organised approaches like intrinsic plasticity have been applied to improve reservoir quality, but do not take the task of the system into account. We present an approac...

this study is focused on developing an integrated optimization-simulation based genetic algorithm model (iosga) to develop the operational policies for a multi-purpose reservoir system. the objective function of the optimization model is considered to be a linear function of reliability (rel), resiliency (res), and vulnerability (vul) of the river-reservoir system. genetic algorithm (ga) is emp...

Abstract. Reservoir computing is a recent paradigm that has proved to be quite effective given the classical difficulty in training recurrent neural networks. An approach to using reservoir recurrent neural networks has been recently proposed for static problems and in this paper we look at the influence of the reservoir size, spectral radius and connectivity on the classification error in thes...

We investigated modifications to the reservoir tube usually used in drawover anaesthetic breathing systems as a method of improving its efficiency and performance. The resulting oxygen concentration was recorded at different oxygen flow rates whilst an artificial lung was being ventilated over a range of minute volumes. Addition of a reservoir bag and valves significantly increased the measured...

gas injection into heavy oil reservoirs could result in high ultimate recovery of oil. experimental studies showed that an application of a combined technology of gas assisted gravity drainage (gagd) and vapor extraction (vapex) could increase final oil recovery of a candidate viscous oil reservoir. in this paper the results of laboratory investigation are presented, including pressure-volume-t...