Jalel Ben Hmida

• PhD
• Senior Instructor and IE Online Graduate Programs Coordinator at Louisiana State University

Early assessment of hip fracture helps develop therapeutic and preventive mechanisms that may reduce the occurrence of hip fracture. An accurate assessment of hip fracture risk requires proper consideration of the loads, the physiological and morphological parameters, and the interactions between these parameters. Hence, this study aims at analyzin...

Including sustainability criteria for making decisions in project management poses challenges in the areas of bioenergy, biotherapeutics, and biomaterials. This is mainly due to chemical heterogeneity of bio-based materials, techno-economic feasibility, and triple constraint of time, cost, and product quality. However, bio-based technologies create...

The lack of cutting transportation during drilling operations especially in horizontal and inclined wells can lead to large amounts of non-productive time and costly solutions. This problem has been encountered very often in the field due mostly to settlement of the cuttings at the bottom side of the hole and especially around pipe joints. Moreover...

Modeling of multiphase flow represents the cornerstone of oil/gas-production systems. Accurate pressure-drop estimation is crucial in the design and operations of subsea architectures. However, the complexity of the underlying physics governing the transport of mass, momentum, and energy considerably limits the accuracy of the current state-of-the-...

The objective of this paper was to develop and solve different constrained optimal power flow (OPF) problems for hybrid power systems containing renewable energy sources like wind energy and solar power. OPF seeks to optimize the transmission of electric power by finding a steady state operating point that minimizes gas emission and cost of generat...

Real-time monitoring of pressure and flow in multiphase flow applications is a critical problem given its economic and safety impacts. Using physics-based models has long been computationally expensive due to the spatial–temporal dependency of the variables and the nonlinear nature of the governing equations. This paper proposes a new reduced-order...

The optimal power flow (OPF) module optimizes the generation, transmission, and distribution of electric power without disrupting network power flow, operating limits, or constraints. Similarly to any power flow analysis technique, OPF also allows the determination of system’s state of operation, that is, the injected power, current, and voltage th...

The ability to train a network without memorizing the input/output data, thereby allowing a good predictive performance when applied to unseen data, is paramount in ANN applications. In this paper, we propose a frequency-domain approach to evaluate the network initialization in terms of quality of training, i.e., generalization capabilities. As an...

Simplifying assumptions and empirical closure relations are often required in existing two-phase flow modeling based on first-principle equations, hence limiting its prediction accuracy and in some instances compromising safety and productivity. State-of-the-art models used in the industry still include correlations that were developed in the sixti...

Artificially intelligent and predictive modelling of geomechanical properties is performed by creating supervised machine learning data models utilizing artificial neural networks (ANN) and will predict geomechanical properties from basic and commonly used conventional well logs such as gamma ray, and bulk density. The predictive models were create...

This paper formulates and solves a probabilistic optimal power flow approach (POPF) for a hybrid power system that includes plug-in electric vehicles (PEV), photovoltaic (PV) and wind energy (WE) sources. In the proposed approach, the Monte Carlo Simulation (MCS) was combined with the antithetic variates method (AVM) to determine the probability di...

This paper develops an artificial neural network (ANN) model for steady-state two-phase flow pressure drop estimation in pipelines. Mechanistic models are traditionally considered in pipeline flow modeling. However, their reliance on fundamental laws of physics can negatively impact their accuracy when dealing with large experimental data sets and...

To efficiently produce from unconventional reservoirs, it is imperative to determine and understand the geomechanical properties of the formation. Successful wellbore stability, drilling design and hydraulic fracturing techniques are some of the key results of fully understanding the geomechanical properties of the formation. These geomechanical pr...

As the penetration of wind turbines into the power grid increases, greater emphasis is placed on designing advanced control approaches for optimum power generation. This paper proposes a novel control scheme for a DFIG-driven variable speed wind energy system. The approach aims at reaching optimum performance in terms of power generation at the poi...

This research is motivated by a real world production scheduling problem in a continuous manufacturing system involving multiple objectives, multiple products and multiple processing lines with various inventory, production and quality constraints. Because of the conflicting objectives, a global optimization approach is considered as not feasible b...

Purpose: This case study is motivated by the subcontracting problem in an oilfield equipment and service company where the management needs to decide which parts to manufacture in-house and which parts to purchase from suppliers when the capacity is not enough to make all required parts. A higher level quality can be achieved for the parts manufact...

Equipment maintenance programs in oilfield service companies today are not designed to handle complex oilfield equipment. In many instances, equipment that returns from a job is washed, painted, and reinstated for service without any type of special maintenance, inspection, or performance evaluation for its mechanized components. By short cutting t...

An evaluation of the inventory policy at an offshore vessel company was conducted. Currently the items in inventory are used at random intervals as they are used only when parts fail. To solve the problem of reducing a very large inventory but keep enough to allow an uninterrupted service to the customer, we propose a real and economically efficien...

A self tuning adaptive approach is proposed for actuator failure compensation in aircraft systems. The control algorithm is designed so that under specific fault conditions, an estimation of the fault is obtained using a self tuning method, alleviating therefore the need for a fault detection and isolation algorithm (FDI) as required by active faul...

In the literature, maintenance policies and production control are generally treated separately or sequentially. In this paper we propose a joint maintenance and inventory control policy for the optimization of the production cost for a manufacturing system. The considered system consists of one machine subject to random failures, repairs and preve...