New Techniques in LWD Formation Pressure Testing Enable Real-Time Reservoir Evaluation in Evermore Challenging Environments

2009 ◽  
Author(s):  
Ulrich Hahne ◽  
Matthias Meister
Keyword(s):  
Real Time ◽  
Formation Pressure ◽  
New Techniques ◽  
Reservoir Evaluation ◽  
Pressure Testing

A Success Story of Critical Data Gathering During the Development Phase of Extreme ERD Well Drilling

2021 ◽  
Author(s):  
Atul Kumar Anurag ◽  
Adel Alkatheeri ◽  
Alvaro Sainz ◽  
Khalid Javid ◽  
Yaxin Liu ◽  
...  
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Drill String ◽  
Carbonate Reservoir ◽  
Carbonate Reservoirs ◽  
Development Phase ◽  
Formation Pressure ◽  
Pressure Testing ◽  
Critical Data ◽  
Well Trajectory

Abstract This paper discusses a holistic combination of advanced formation evaluation techniques with pressure testing and reservoir navigation services to mitigate uncertainty related challenges in real time and successfully drill & place ERD laterals targeting Jurassic carbonate reservoirs. A meticulously planned approach to navigate the well trajectory by tracking the desired properties, informed decision-making while drilling and accurate data acquisition for aiding appropriate selection and placement in-flow control device (ICD) in lower completion design and future reservoir management contributed to the success of these complex wells in carbonate reservoirs. The first well in this study, involved drilling and evaluating a long lateral section as single oil producer targeting a carbonate reservoir. While no tar presence was expected, a combination of density, neutron porosity and nuclear magnetic resonance (NMR) logs while drilling resulted in identifying a deficit NMR porosity when compared to density porosity. Deployment of a formation pressure testing while drilling (FPWD) tool enabled measurement of the formation mobility and validate the presence of a tar. Using the same combination of measurements in the subsequent wells for delineating the tar enabled accurate planning of injection wells on the periphery of the field. Approximately 3 days were saved compared to the first well where the drill string had to be POOH to run-in with FPWD service. Hence, having FPWD tool in the same string helped in confirming the formation mobility in real time to call for critical decision making like changing the well trajectory or calling an early TD. Across all the wells drilled in this field, the formation pressure, mobility and porosity measurements provided valuable input for optimum ICD placement and design. Successful identification of unexpected tar resulted in substantial rig time savings, accurate planning of asset utilization and added confidence in design and placement of lower completions by utilizing LWD data. Benefits of integrated data and services combination became clear for applications involving advanced reservoir characterization and enhanced well placement in complex carbonate reservoirs. From the offset wells, a tar was seen in deeper formations but the integration of LWD NMR and mobility data from this well confirmed the presence of a tar within the zone of interest. The study established a cost-effective workflow for mitigating uncertainties related to tar encountered while drilling extreme ERD laterals in an offshore environment where any lost time results in significant increase in expenditures during the development phase. A systematic approach to tackle these uncertainties along with acquisition of critical data for the design & placement of completion results in optimum production from the reserves.

LWD Formation Pressure Testing Allows Decision-Making While Drilling

2006 ◽  
Author(s):  
Ulrich Hahne ◽  
Aravindh Kaniappan ◽  
Jos Pragt ◽  
Arno Buysch
Keyword(s):  
Decision Making ◽  
Formation Pressure ◽  
Pressure Testing

Theory of Temperature Dynamic Control in Arch Dams and its Application

2012 ◽  
Vol 594-597 ◽  
pp. 738-741 ◽  
Author(s):  
Yin Duan ◽  
Xing Hong Liu ◽  
Xiao Lin Chang
Keyword(s):  
Real Time ◽  
Temperature Control ◽  
Control Method ◽  
Dynamic Control ◽  
Arch Dam ◽  
Real Time Control ◽  
New Techniques ◽  
Time Dynamic ◽  
Arch Dams ◽  
Time Control

Main factors of the temperature control and crack prevention in arch dams are summarized. The Space-time Dynamic Control method in pipe cooling process and the Temperature Real-time Control and Decision Database System are introduced to help for temperature real-time control and rapid analysis. Successful application of these new techniques in the construction of Dagangshan arch dam indicates that the proposed method are of significant effectiveness on the temperature control and crack prevention, and have good application prospect in practical project.

Constant Reservoir Evaluation Through Real-Time Data as a Service

2007 ◽  
Author(s):  
Alberto G. Mezzatesta ◽  
David Christian Shaw ◽  
Steve Webb
Keyword(s):  
Real Time ◽  
Time Data ◽  
Reservoir Evaluation ◽  
Real Time Data ◽  
Data As A Service

scholarly journals Nonlinear forecasts of ƒ<i>o</i>F2: variation of model predictive accuracy over time

2002 ◽  
Vol 20 (7) ◽  
pp. 1031-1038 ◽  
Author(s):  
A. H. Y. Chan ◽  
P. S. Cannon
Keyword(s):  
Real Time ◽  
Space Weather ◽  
Predictive Accuracy ◽  
Radio Waves ◽  
New Techniques ◽  
Radio Science ◽  
F Region ◽  
Instruments And Techniques ◽  
Using Data ◽  
Hf Communications

Abstract. Space weather effects can strongly influence high-frequency (HF) communications by changing the ionospheric environment through which the radio waves propagate. Since many systems utilize HF communications, the ability to make real-time assessments of propagation conditions is an important part of space weather monitoring systems. In this paper, we present new techniques for measuring high-latitude HF communications link parameters using data from SuperDARN radars. These techniques use ground-scatter returns to define the variation in skip distance with frequency. From these data, the maximum usable frequency (MUF) as a function of range is determined and ionospheric critical frequencies are estimated. These calculations are made in near-real-time and the results are made available on the World Wide Web. F-region critical frequencies calculated using this method show good agreement with ionosonde data.Key words. Ionosphere (active experiments; instruments and techniques) – Radio science (ionospheric propagation)

scholarly journals LabelSens: enabling real-time sensor data labelling at the point of collection using an artificial intelligence-based approach

2020 ◽  
Vol 24 (5) ◽  
pp. 709-722
Author(s):  
Kieran Woodward ◽  
Eiman Kanjo ◽  
Andreas Oikonomou ◽  
Alan Chamberlain
Keyword(s):  
Machine Learning ◽  
Data Collection ◽  
Real Time ◽  
High Performance ◽  
Poor Performance ◽  
Limited Range ◽  
Performance Comparison ◽  
Mobile App ◽  
Sensor Data ◽  
New Techniques

Abstract In recent years, machine learning has developed rapidly, enabling the development of applications with high levels of recognition accuracy relating to the use of speech and images. However, other types of data to which these models can be applied have not yet been explored as thoroughly. Labelling is an indispensable stage of data pre-processing that can be particularly challenging, especially when applied to single or multi-model real-time sensor data collection approaches. Currently, real-time sensor data labelling is an unwieldy process, with a limited range of tools available and poor performance characteristics, which can lead to the performance of the machine learning models being compromised. In this paper, we introduce new techniques for labelling at the point of collection coupled with a pilot study and a systematic performance comparison of two popular types of deep neural networks running on five custom built devices and a comparative mobile app (68.5–89% accuracy within-device GRU model, 92.8% highest LSTM model accuracy). These devices are designed to enable real-time labelling with various buttons, slide potentiometer and force sensors. This exploratory work illustrates several key features that inform the design of data collection tools that can help researchers select and apply appropriate labelling techniques to their work. We also identify common bottlenecks in each architecture and provide field tested guidelines to assist in building adaptive, high-performance edge solutions.

Field Experience With a New Formation Pressure Testing-During-Drilling Tool

2004 ◽  
Author(s):  
S. Frank ◽  
V.J. Beales ◽  
S. Dilling ◽  
M. Meister ◽  
J. Lee ◽  
...  
Keyword(s):  
Field Experience ◽  
Formation Pressure ◽  
Drilling Tool ◽  
Pressure Testing ◽  
New Formation

Real Time Well Placement above a Tar Mat: Leveraging Formation Pressure While Drilling and Pyrolytic Oil-Productivity Index Technologies

2008 ◽  
Author(s):  
Khalid Mohammed Al-Salem ◽  
Said Saad Al-Malki ◽  
Rabea A. Al-Ahyed ◽  
Peter John Jones ◽  
Peter Mark Neumann
Keyword(s):  
Real Time ◽  
Productivity Index ◽  
Formation Pressure ◽  
Well Placement ◽  
Oil Productivity ◽  
Pyrolytic Oil

scholarly journals An Arduino Real-Time Jump Tagging System for Exploring Stereotyped Jumping Behavior in Mice

2021 ◽  
Author(s):  
Junye Ge ◽  
Guangyuan Li ◽  
Haibo Zhang ◽  
Haiying Liu ◽  
Chuchu Qi ◽  
...  
Keyword(s):  
Real Time ◽  
Primary Motor Cortex ◽  
Digital Signal ◽  
Stereotyped Behavior ◽  
Neural Mechanisms ◽  
Natural State ◽  
New Techniques ◽  
The Common ◽  
Pressure Changes ◽  
Tagging System

Abstract The jump is one of the common stereotyped behavior in rodents. It is the natural state in some types of mice and also can be found in certain types of disease models, such as addiction. It is straightforward and easy to identify by the human eye in offline analysis. However, jumping is a short-lived act that happens immediately. It is difficult to be tagged in real-time by manual operation, which limits the detailed exploration of its neural mechanisms with the new techniques, such as fiber photometry recording or optogenetics. Here we introduced an arduino real-time jump tagging system (Art-JT system) to record the jump based on online monitoring the pressure changes of the floor in which the mouse is free exploring. Meanwhile, the Art-JT system can send the digital signal of the jump timing to the external device for tagging the events in the fiber photometry system or triggering the optogenetics laser. We tested it with the mice induced by Naloxone precipitated withdrawal jumping. The results showed that it could accurately record the jump events and provide several detailed parameters of the jump. Furthermore, it was easy and fast to get the GCaMP6 signal correlated with the jump in the medial prefrontal cortex and primary motor cortex by combining the Art-JT system and multichannel fiber photometry system. Our results suggested that the Art-JT system may be a powerful tool for recording and analyzing jumping efficiently and helping us to understand stereotyped behavior.

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