A Field Development Strategy: When a Simple Stochastic Model Surpasses Numerical Simulation

Dispersion of fluid particles in non-homogeneous turbulence was studied for fully developed flow in a channel. A point source at a distance of 40 wall units from the wall is considered. Data obtained by carrying out experiments in a direct numerical simulation (DNS) are used to test a stochastic model which utilized a modified Langevin equation. All of the parameters, with the exception of the time scales, are obtained from Eulerian statistics. Good agreement is obtained by making simple assumptions about the spatial variation of the time scales.

Download Full-text

A Simple Stochastic Model for Dipole Moment Fluctuations in Numerical Dynamo Simulations

Frontiers in Earth Science ◽

10.3389/feart.2016.00038 ◽

2016 ◽

Vol 4 ◽

Cited By ~ 11

Author(s):

Domenico G. Meduri ◽

Johannes Wicht

Keyword(s):

Dipole Moment ◽

Stochastic Model ◽

Simple Stochastic Model

Download Full-text

Offshore Gas Field Development Strategy and Flow Assurance Prediction and Optimization in Harsh Environment

10.2118/192903-ms ◽

2018 ◽

Author(s):

Humoud Almohammad ◽

Abdullah Al-Derbass ◽

Abdulaziz Alsubaie ◽

Mohammed Bumajdad ◽

Abdulaziz Al-Khamis ◽

...

Keyword(s):

Development Strategy ◽

Harsh Environment ◽

Flow Assurance ◽

Gas Field ◽

Field Development

Download Full-text

Evaluation of Water Coning Tendency to Support Full Field Development Plan: Analytical Predictive Techniques or Numerical Simulation Models?

10.2118/175336-ms ◽

2015 ◽

Author(s):

Hossein Ali Algdamsi ◽

Ahmed Abdalslam Amtereg ◽

Ammar Agnia

Keyword(s):

Numerical Simulation ◽

Simulation Models ◽

Development Plan ◽

Full Field ◽

Field Development ◽

Water Coning

Download Full-text

Marginal Field Development Strategy: Malaysia Pm304 Cendor Field Success Story

10.3997/2214-4609-pdb.256.p17 ◽

2006 ◽

Author(s):

C.Y. McCants ◽

Richard Hall ◽

Brock Tuppeny ◽

Keith Collins ◽

Mohd. Khalid Jamiran and Stan Rae

Keyword(s):

Development Strategy ◽

Success Story ◽

Field Development ◽

Marginal Field

Download Full-text

Cognition, conflict, and doctrine: How groupthink fails on a Clausewitz landscape

The Journal of Defense Modeling and Simulation Applications Methodology Technology ◽

10.1177/1548512919843642 ◽

2019 ◽

Vol 17 (2) ◽

pp. 137-142 ◽

Cited By ~ 1

Author(s):

Rodrick Wallace

Keyword(s):

Stochastic Model ◽

Constrained Optimization ◽

Real Time ◽

Institutional Effectiveness ◽

Shadow Price ◽

Political Campaigns ◽

Direct Approach ◽

Optimization Models ◽

Anytime Algorithm ◽

Simple Stochastic Model

Real-time conflict takes place on Clausewitz landscapes most notably marked by fog-of-war and frictional limits, uncertainties, and misperceptions. Imposition of such factors on an opponent is, in fact, a standard tactic of confrontation, from courts of law to commerce, from political campaigns to the battlefield. Time-constrained optimization models of institutional effectiveness, based on ‘anytime algorithm’ methods, suggest that the burden of doctrinal groupthink may become synergistic with fog-of-war and friction to greatly compromise the ability of an institution to respond to shadow price demands imposed by a contending agent or environment. A different, and more direct, approach via a ‘simple’ stochastic model, provides similar insight.

Download Full-text

A Stochastic Model of Stress Evolution in a Bolted Structure in the Presence of a Joint Elastic Piece: Modeling and Parameter Inference

Advances in Materials Science and Engineering ◽

10.1155/2020/9601212 ◽

2020 ◽

Vol 2020 ◽

pp. 1-11

Author(s):

Mohammed Haiek ◽

Youness El Ansari ◽

Nabil Ben Said Amrani ◽

Driss Sarsri

Keyword(s):

Numerical Simulation ◽

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Stochastic Model ◽

Estimation Method ◽

Likelihood Estimation ◽

Stress Evolution ◽

Parameter Inference ◽

Maximum Likelihood Estimation Method ◽

Over Time

In this paper, we propose a stochastic model to describe over time the evolution of stress in a bolted mechanical structure depending on different thicknesses of a joint elastic piece. First, the studied structure and the experiment numerical simulation are presented. Next, we validate statistically our proposed stochastic model, and we use the maximum likelihood estimation method based on Euler–Maruyama scheme to estimate the parameters of this model. Thereafter, we use the estimated model to compare the stresses, the peak times, and extinction times for different thicknesses of the elastic piece. Some numerical simulations are carried out to illustrate different results.

Download Full-text