â understanding the flow behaviour in a gas well is crucial for future production strategies, obtaining bottomhole conditions from wellhead production data, analyzing production data and estimating reservoir properties. in this work, the pressure profile and flow regime are studied on four wells of a multi-well, multi-layer gas-condensate reservoir, producing at high rate. the wells are deviate...

in this study, a three–layer artificial neural network (ann) model was developed to predict the pressure gradient in horizontal liquid–liquid separated flow. a total of 455 data points were collected from 13 data sources to develop the ann model. superficial velocities, viscosity ratio and density ratio of oil to water, and roughness and inner diameter of pipe were used as input parameters of t...

designing and optimization of the intake manifold is one of the important steps in the development of the internal combustion engines. in this paper, the flow inside the intake manifold of an internal combustion engine is investigated by numerical modeling. the convective flux models are adopted to simulate the unsteady compressible flow behavior. to solve the governing equations, for calculati...

Leverage scores, loosely speaking, reflect the importance of the rows and columns of a matrix. Ideally, given the leverage scores of a rank-r matrix M ∈ Rn×n, that matrix can be reliably completed from just O(rn log n) samples if the samples are chosen randomly from a nonuniform distribution induced by the leverage scores. In practice, however, the leverage scores are often unknown a priori. As...

In the present study we propose a charge-conservative scheme to solve twophase electrohydrodynamic (EHD) problems using the Volume-of-Fluid (VOF) method. EHD problems are usually simplified by assuming that the fluids involved are purely dielectric (insulators) or purely conducting. Gases can be considered as perfect insulators but pure dielectric liquids do not exist in nature and insulating l...

Utility of an itemset is considered as the value of this itemset, and utility mining aims at identifying the itemsets with high utilities. The temporal high utility itemsets are the itemsets whose support is larger than a pre-specified threshold in current time window of the data stream. Discovery of temporal high utility itemsets is an important process for mining interesting patterns like ass...

A model is developed to study the stress generation in a spherical particle subjected to lithium insertion. The model accounts for both the plastic deformation and the coexistence of lithium-poor and lithium-rich phases with a sharp and curved phase boundary. Such twophase and inelastic deformation characteristics often arise during lithiation of crystalline particles with high capacity. A flex...

In this paper we prove the so-called “Meek Conjecture”. In particular, we show that if a DAG H is an independence map of another DAG G, then there exists a finite sequence of edge additions and covered edge reversals in G such that (1) after each edge modification H remains an independence map of G and (2) after all modifications G = H. As shown by Meek (1997), this result has an important cons...

The increase in the database size of chemical compound requires a longer time in processing for any searching algorithms [1]. With the focus on an algorithm called Turbo Similarity Searching which have been proven to have good accuracy in retrieving actives [2], we propose that this algorithm be implemented on the widely-used many-cores and multi-cores processors which are easily available at l...

Long running transactions, such as online purchases, severely reduce throughput under standard locking protocols such as two-phase locking. We investigated the use of escrow transactions to remove the need to wait for locks, and thus reduced the average transaction runtime. Escrow transactions allow transactions to borrow a quantity from the record until the transaction aborts or commits and to...