Real-Time Strain Monitoring of Sand-Control Completions

2010 ◽  
Author(s):  
Denise M. Earles ◽  
Carl W. Stoesz ◽  
Anderson Da Silva Amaral ◽  
Jeremiah Glen Pearce ◽  
Hans DeJongh ◽  
...  
Keyword(s):  
Real Time ◽  
Strain Monitoring ◽  
Sand Control

Mitigating Compaction Damage in Real-Time for Openhole Sand Control Applications

2011 ◽  
Author(s):  
Denise M. Earles ◽  
Marc Samuelson ◽  
Carl W. Stoesz ◽  
Nilufer Darius Surveyor ◽  
Jeremiah Glen Pearce ◽  
...  
Keyword(s):  
Real Time ◽  
Control Applications ◽  
Sand Control

Real-time completion monitoring with acoustic waves

Geophysics ◽  
2008 ◽  
Vol 73 (1) ◽  
pp. E15-E33 ◽  
Author(s):  
Andrey Bakulin ◽  
Alexander Sidorov ◽  
Boris Kashtan ◽  
Mikko Jaaskelainen
Keyword(s):  
Real Time ◽  
Acoustic Waves ◽  
Acoustic System ◽  
Acoustic Signatures ◽  
New Findings ◽  
Sand Control ◽  
Surveillance Method ◽  
4D Seismic ◽  
Permeability Impairment ◽  
Downhole Sensors

Deepwater production is challenged by well underperformance issues that are hard to diagnose early on and expensive to deal with later. Problems are amplified by reliance on a few complex wells with sophisticated sand-control media. New downhole data are required for better understanding and prevention of production impairment. We introduce real-time completion monitoring (RTCM), a new nonintrusive surveillance method that uses acoustic signals sent via the fluid column to identify permeability impairment in sand-screened completions. The signals are carried by tube waves that move borehole fluid back and forth radially across the completion layers. Such tube waves are capable of instant testing of the presence or absence of fluid communication across the completion and are sensitive to changes occurring in sand screens, gravel sand, perforations, and possibly in the reservoir. The part of the completion that has different impairment from its neighbors will carry tube waves with modified signatures (velocity, attenuation) and will produce a reflection from the boundary where impairment changes. We conduct a laboratory experiment with a model of a completed horizontal borehole and focus on effects of sand-screen permeability on transmitted and reflected acoustic signatures. These new findings form the basis of an RTCM method that can be thought of as “miniaturized” 4D seismic and as a “permanent log” in an individual wellbore. We present experiments with a fiber-optic acoustic system that suggest a nonintrusive way to install downhole sensors on the pipe in realistic completions and thus implement real-time surveillance with RTCM.

UCS Neural Network Model for Real Time Sand Prediction

2010 ◽  
Vol 2 ◽  
pp. 1-13 ◽  
Author(s):  
Gbenga Folorunso Oluyemi ◽  
Babs Mufutau Oyeneyin ◽  
Chris Macleod
Keyword(s):  
Neural Network ◽  
Real Time ◽  
Data Gathering ◽  
Time Data ◽  
Sand Control ◽  
Exploration And Production ◽  
Measurement While Drilling ◽  
Textural Data ◽  
Potential Evaluation ◽  
Thick Overburden

Exploration and production activities have moved into more challenging deep-water and subsea environments. Many of the clastic reservoirs in these environments are characterized by thick overburden, HP-HT and largely unconsolidated formations with challenging sand management issues. For effective overall field/reservoir management, it is crucial to know if and when sand would fail and be ultimately produced. Field-life sanding potential evaluation and analysis, which seeks to evaluate the sanding potential of reservoir formations during the appraisal stage and all through the development to the abandonment stage, is therefore necessary so that important reservoir/field management decisions regarding sand control deployment can be made. Recent work has identified Unconfined Compressive Strength (UCS) as a key parameter required for the evaluation and analysis of sanding potential of any reservoir formation. There is therefore the need to be able to predict this important sanding potential parameter accurately and in real time to reduce the level of uncertainties usually associated with sanding potential evaluation and analysis. In this work, neural network coded in C++ was trained with log-derived petrophysical, geomechanical and textural data to develop a stand-alone model for predicting UCS. Real-time functionality of this model is guaranteed by real time data gathering via logging while drilling (LWD) and other measurement while drilling (MWD) tools. The choice of neural network over and above other methods and techniques which have been widely used in the industry was informed by its ability to better resolve the widely known complex relationship between petrophysical, textural and geomechanical strength parameters.

scholarly journals Numerical calculation of wing-bending moment with real-time strain monitoring by FBG modulation

2017 ◽  
Vol 14 ◽  
pp. 374-378
Author(s):  
Bo Jin ◽  
Weifang Zhang ◽  
Wei Wei ◽  
Xiaobei Liang ◽  
Meng Zhang
Keyword(s):  
Numerical Calculation ◽  
Real Time ◽  
Bending Moment ◽  
Strain Monitoring

Real-Time Strain Monitoring of a Navy Vessel During Open Water Transit

2010 ◽  
Vol 54 (04) ◽  
pp. 225-230
Author(s):  
J. M. Nichols ◽  
M. Seaver ◽  
S. T. Trickey ◽  
E. Aktas ◽  
K. Scandell ◽  
...  
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Fiber Optic ◽  
Primary Source ◽  
Open Water ◽  
Dynamic Strain ◽  
Ship Maneuvers ◽  
Strain Monitoring ◽  
Deck Plate ◽  
Critical Components

In this work we describe the installation of a real-time, fiber-optic strain monitoring system aboard a US Navy vessel undergoing sea trials. The system is lightweight, unintrusive, corrosion resistant, and provides dynamic strain response measurements from direct current (DC) up to 360 Hz. Also described are the data acquisition and subsequent analysis. The goals of the study were to demonstrate a fiber-optic strain monitoring system under real world conditions and to better understand the source of deck cracking above an area housing mission-critical components. The results of the two-day trial indicate that there exist large stresses in the deck plate during normal ship operation. Based on the results, it is clear that ship maneuvers, slewing of the radar located on the deck plate, and insolation-related effects are not the primary source of the observed stress.

Real-time monitoring of the longitudinal strain of Continuous Welded Rail for safety improvement

2019 ◽  
Vol 234 (10) ◽  
pp. 1238-1252 ◽  
Author(s):  
A Consilvio ◽  
M Iorani ◽  
V Iovane ◽  
M Sciutto ◽  
G Sciutto
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Human Error ◽  
Calibration Procedure ◽  
Monitoring Systems ◽  
Strain Monitoring ◽  
Safety Improvement ◽  
Continuous Welded Rail ◽  
Rail Inspection ◽  
Human Error Probability

Continuous welded rail maintenance plays a significant role in ensuring high levels of rail traffic and safety. Temperature variations, excessive alignment defects, decreased fastening system resistance and train braking (always in the same stretches and in the same direction) may result in rail buckling or rail breaks. The current traditional monitoring systems and procedures for continuous welded rail consist of programmed discontinuous diagnostic surveys that require personnel intervention on site. Moreover, these traditional systems often imply destructive and invasive operations on the track that may lead to interruption of railway operations. This paper proposes a Rail Strain Monitoring System (RSMS) that performs a real-time rail strain monitoring and allows rail inspection without personnel on site. Using strain gauges and temperature sensors, placed on the rail in specific measurement points, the proposed Rail Strain Monitoring System performs a multi-parameter check by measuring, at the same time, the temperature, the rail strain and the neutral temperature of the rail. The paper describes the mode of operation of the Rail Strain Monitoring System, the calibration procedure and the results from the field, and highlights the advantages of this system in comparison to other traditional monitoring systems. The safety improvement that can be achieved with the application of the Rail Strain Monitoring System is analysed. In particular, the reliability of the system is evaluated and compared to the human error probability in the traditional manual inspections. Finally, the reduction of derailment risk and related economic damages is estimated.

Safety Control Research of Steel U Girder of Composite Bridge with Incremental Launching Construction

2011 ◽  
Vol 90-93 ◽  
pp. 926-932 ◽  
Author(s):  
Jin Feng Wang ◽  
Jian Ping Lin ◽  
Yi Fu ◽  
Yong Jiang ◽  
Jian Zeng Li ◽  
...  
Keyword(s):  
Real Time ◽  
High Efficiency ◽  
Bridge Structure ◽  
Mechanical Behaviors ◽  
Safety Control ◽  
Strain Monitoring ◽  
Safe State ◽  
Control Research ◽  
Composite Bridge ◽  
Important Significance

With both the high efficiency and economic advantages, the incremental launching has been widely used in bridge construction. As the steel U girder of the composite bridge has not formed the designed section during the launching construction, it has small stiffness relatively and poor torsion resistance ability. The structure mechanical behaviors are complex. Bridge structure collapsed during the incremental launching construction had been reported. Real-time strain monitoring of the adverse sections of the structure during the launching has important significance. By taking the Hangzhou Jiubao Bridge as background, this article introduced the real-time strain monitoring of the steel U girder and analyzed the monitoring results. Effective mastery of the safe state of the structure during launching construction was achieved. It had ensured the launching construction finished successfully. The research results can provide a reference for the design and construction of other similar engineering.

Real-time strain monitoring in thin film growth: cubic boron nitride on Si (100)

1999 ◽  
Vol 66 (1-3) ◽  
pp. 79-82 ◽  
Author(s):  
Dmitri Litvinov ◽  
Roy Clarke ◽  
Charles A Taylor II ◽  
Darryl Barlett
Keyword(s):  
Thin Film ◽  
Boron Nitride ◽  
Real Time ◽  
Film Growth ◽  
Cubic Boron Nitride ◽  
Thin Film Growth ◽  
Strain Monitoring
Sign in / Sign up

Export Citation Format

Share Document