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Now showing items 91-100 of 157
MODELING RELAXATION EFFECTS ON MULTIPHASE FLUID TRANSPORT IN WELLS AND PIPELINES
(2012)
The effect of relaxation in processes involving phase transition during flow of reservoir fluids in pipelines and wells is investigated and formulated. Applications concerning the steady-state flow of producing wells, ...
An Experimental, Modeling and Machine Learning Based Investigation of Stick-Slip Vibrations
(2022-08-04)
Drilling technologies have improved considerably since the first well drilled by Colonel E.L Drake in 1859. Drilling technologies enable us to safely drill complex well profiles with advanced downhole tools and sensors to ...
Rheological and Flow Characteristics of Drag Reducing Surfactant Solutions in Straight Pipes and Annular Ducts
(2014)
Surfactants are well-known as effective drag reducers and viscosifying agents. The macroscopic properties of surfactants are dictated by the surfactant type and the condition of the solvent in which the surfactant is ...
Machine learning for the subsurface characterization at core, well, and reservoir scales
(2020-05-08)
The development of machine learning techniques and the digitization of the subsurface geophysical/petrophysical measurements provides a new opportunity for the industries focusing on exploration and extraction of subsurface ...
Fluid dynamics of well-bore bottom-hole cleaning /
(1983)
A comprehensive series of tests were run on the University of Oklahoma drilling research laboratory rig investigating the variables which influence the rate of cutting removal. No rock cutting or penetration was done in ...
QUANTIFYING PARTICLE TRANSPORTATION FOR UNCONVENTIONAL RESERVOIR CHARACTERIZATION
(2017-12)
The objectives of this research dissertation include: (1) develop a novel procedure of single well chemical tracer test (SWCTT) and modification of method of moments (MoM) to estimate mobile oil saturation; (2) apply ...
Data Assimilation Using The Ensemble Kalman Filter With Emphasis On The Inequality Constraints
(2010)
The reliability of reservoir models generally increases as more data are included during their construction. In the recent past, the ensemble Kalman lter (EnKF) technique has established itself as a viable data assimilation ...
UNDERSTANDING THE FUNDAMENTAL DRIVE MECHANISMS FOR HUFF-N-PUFF ENHANCED OIL RECOVERY IN TIGHT FORMATIONS
(2019-12-13)
Unconventional oil and gas resources have recently become the major source of produced hydrocarbons in the US. The change in the energy landscape follows nearly two decades of technological breakthroughs including horizontal ...
A coupled model for the prediction of interformation flow through an abandoned well.
(1998)
Application of the model is demonstrated in a computer program which is used to evaluate hypothetical field cases of varying producer/injector combinations and user defined abandoned well location and conditions. The results ...