Prediction of Critical Pipe Running Speed During Tripping in Drilling Operations

In-process prediction of corner wear in drilling operations

The paper presents an in-process prediction of corner wear in drilling operations by means of a polynomial network. The polynomial network is composed of a number of functional nodes and well organized to form an optimal network architecture using an algorithm for synthesis of polynomial networks (ASPNs). Thrust force or torque in drilling operations has been correlated with corner wear in this...

Drilling Stuck Pipe Prediction in Iranian Oil Fields: An Artificial Neural Network Approach

simulation and experimental studies for prediction mineral scale formation in oil field during mixing of injection and formation water

abstract: mineral scaling in oil and gas production equipment is one of the most important problem that occurs while water injection and it has been recognized to be a major operational problem. the incompatibility between injected and formation waters may result in inorganic scale precipitation in the equipment and reservoir and then reduction of oil production rate and water injection rate. ...

prediction of ignition delay period in d.i diesel engines

a semi-empirical mathematical model for predicting physical part of ignition delay period in the combustion of direct - injection diesel engines with swirl is developed . this model based on a single droplet evaporation model . the governing equations , namely , equations of droplet motion , heat and mass transfer were solved simultaneously using a rung-kutta step by step unmerical method . the...

Inter- and intrastrain variation in mouse critical running speed.

With the generation of mouse models of human cardiovascular or neuromuscular disorders, the development of noninvasive methods to evaluate the physiological responses to exercise presents an important challenge. The possibility for determining critical speed (CS) in the mouse model was examined according to strain (CD1, C57BL/6J, FVB/N) and sex. Sixty mice performed four exhaustive runs on a tr...