INTRINSIC CARBON-OXYGEN LOGGING FOR ENHANCED CONSISTENCY OF RESERVOIR SATURATION MONITORING

2021 ◽  
Author(s):  
Shouxiang Mark Ma ◽  
◽  
Nacer Guergueb ◽  
Weijun Guo ◽  
Mahmoud Eid ◽  
...  
Keyword(s):  
Quality Control ◽  
Monte Carlo ◽  
Case Studies ◽  
Fresh Water ◽  
Raw Data ◽  
Oil Saturation ◽  
Physical Tests ◽  
Simulated Case ◽  
Pulsed Neutron ◽  
Logging Tool

Pulsed neutron carbon-oxygen (C/O) logging is a valuable measurement for dynamic reservoir saturation monitoring, especially in mixed salinity and fresh-water environments. Currently, all C/O logs are based on apparent C/O measurements, thus responses of raw data are not comparable between different tools. Tool-specific calibrations are used to convert apparent C/O log to reservoir oil saturation; the objective of C/O logging. In this paper, a new concept of intrinsic C/O logging is introduced so that raw data from different tools can be compared for enhanced log quality control and consistency of raw data and their applications. For a given system of rock, oil, and water, intrinsic carbon (C) and oxygen (O), thus C/O ratio, are theoretically calculated. For the same system, apparent C/O ratio measured by a generic C/O logging tool is also obtained using existing apparent C/O methodology. A correlation between the two is established, enabling an intrinsic C/O log output. Eleven laboratory physical tests and 120 Monte Carlo simulated case studies are conducted. Systems investigated include sandstone and limestone with different porosities and fluid saturations. Borehole sizes are 6 and 8 inches, and borehole fluids are water, oil, and their mixtures. Correlations between intrinsic and apparent C/O are established and concept of intrinsic C/O logging is verified.

Field Applications of the New Multidetector Slim Pulsed Neutron Logging Tool: Oman Case Studies

2016 ◽  
Author(s):  
A. H. Al-Yaarubi ◽  
D. A. Rose ◽  
T. Zhou ◽  
G. Gonzalez ◽  
P. A. Lombardi ◽  
...  
Keyword(s):  
Case Studies ◽  
Pulsed Neutron ◽  
Logging Tool

Principle of WaveSonic Logging Tool and Application

2014 ◽  
Vol 962-965 ◽  
pp. 856-859
Author(s):  
Ji Hui Feng
Keyword(s):  
Quality Control ◽  
Case Studies ◽  
Water Saturation ◽  
Well Logging ◽  
New Type ◽  
Technical Specifications ◽  
Logging Tool

The configuration and technical specifications of the new type WaveSonic Logging Tool bought by West Drilling Well Logging Company are introduced from Halliburton Company.It shows that the consistency,repeatability and stability of the tool are good,and its specifications fully meet pre-designed requirements and quality control standards. In this paper, WaveSonic logging principles are briefly introduced, applications case studies to porosity, permeability, and oil and water saturation are discussed in details.

scholarly journals FRED: a fast Monte Carlo code on GPU for quality control in Particle Therapy

2020 ◽  
Vol 1548 ◽  
pp. 012020
Author(s):  
M De Simoni ◽  
M Fischetti ◽  
E Gioscio ◽  
M Marafini ◽  
R Mirabelli ◽  
...  
Keyword(s):  
Quality Control ◽  
Monte Carlo ◽  
Particle Therapy ◽  
Monte Carlo Code

scholarly journals DTI quality control assessment via error estimation from Monte Carlo simulations

2013 ◽  
Author(s):  
Mahshid Farzinfar ◽  
Yin Li ◽  
Audrey R. Verde ◽  
Ipek Oguz ◽  
Guido Gerig ◽  
...  
Keyword(s):  
Quality Control ◽  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Error Estimation

Field Test Results in Malaysia Wells of a New-Generation Slim Pulsed Neutron Logging Tool

2017 ◽  
Author(s):  
P. Millot ◽  
F. K. Wong ◽  
D. A. Rose ◽  
T. Zhou ◽  
R. Grover ◽  
...  
Keyword(s):  
Field Test ◽  
Test Results ◽  
New Generation ◽  
Pulsed Neutron ◽  
Logging Tool

An Equilibrium Prediction Method for Control and Fault Detection of Energy Systems

2021 ◽  
Author(s):  
Austin Rogers ◽  
Fangzhou Guo ◽  
Bryan Rasmussen
Keyword(s):  
Monte Carlo ◽  
Fault Detection ◽  
Monte Carlo Simulations ◽  
Case Studies ◽  
Air Conditioning ◽  
Prediction Method ◽  
Worker Safety ◽  
Static System ◽  
Control Logic ◽  
First Order

Abstract Many fault detection, optimization, and control logic methods rely on sensor feedback that assumes the system is operating at steady state conditions, despite persistent transient disturbances. While filtering and signal processing techniques can eliminate some transient effects, this paper proposes an equilibrium prediction method for first order dynamic systems using an exponential regression. This method is particularly valuable for many commercial and industrial energy system, whose dynamics are dominated by first order thermo-fluid effects. To illustrate the basic advantages of the proposed approach, Monte Carlo simulations are used. This is followed by three distinct experimental case studies to demonstrate the practical efficacy of the proposed method. First, the ability to predict the carbon dioxide level in classrooms allows for energy efficient control of the ventilation system and ensures occupant comfort. Second, predicting the optimal time to end the cool-down of an industrial sintering furnace allows for maximum part throughput and worker safety. Finally, fault detection and diagnosis methods for air conditioning systems typically use static system models; however, the transient response of many air conditioning signals may be approximated as first order, and therefore, the prediction model enables the use of static fault detection methods with transient data. In this paper, the equilibrium prediction method's performance will be quantified using both Monte Carlo simulations and case studies.

scholarly journals Moving translational mass spectrometry imaging towards transparent and reproducible data analyses: A case study of an urothelial cancer cohort analyzed in the Galaxy framework

2021 ◽  
Author(s):  
Melanie Christine Föll ◽  
Veronika Volkmann ◽  
Kathrin Enderle-Ammour ◽  
Konrad Wilhelm ◽  
Dan Guo ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Quality Control ◽  
Data Analysis ◽  
Mass Spectrometry Imaging ◽  
Urothelial Cancer ◽  
Type I ◽  
Raw Data ◽  
The Galaxy ◽  
Muscle Invasive ◽  
Reproducible Manner

Background: Mass spectrometry imaging (MSI) derives spatial molecular distribution maps directly from clinical tissue specimens. This allows for spatial characterization of molecular compositions of different tissue types and tumor subtypes, which bears great potential for assisting pathologists with diagnostic decisions or personalized treatments. Unfortunately, progress in translational MSI is often hindered by insufficient quality control and lack of reproducible data analysis. Raw data and analysis scripts are rarely publicly shared. Here, we demonstrate the application of the Galaxy MSI tool set for the reproducible analysis of an urothelial carcinoma dataset. Methods: Tryptic peptides were imaged in a cohort of 39 formalin-fixed, paraffin-embedded human urothelial cancer tissue cores with a MALDI-TOF/TOF device. The complete data analysis was performed in a fully transparent and reproducible manner on the European Galaxy Server. Annotations of tumor and stroma were performed by a pathologist and transferred to the MSI data to allow for supervised classifications of tumor vs. stroma tissue areas as well as for muscle-infiltrating and non-muscle invasive urothelial carcinomas. For putative peptide identifications, m/z features were matched to the MSiMass list. Results: Rigorous quality control in combination with careful pre-processing enabled reduction of m/z shifts and intensity batch effects. High classification accuracy was found for both, tumor vs. stroma and muscle-infiltrating vs. non-muscle invasive tumors. Some of the most discriminative m/z features for each condition could be assigned a putative identity: Stromal tissue was characterized by collagen type I peptides and tumor tissue by histone and heat shock protein beta-1 peptides. Intermediate filaments such as cytokeratins and vimentin were discriminative between the tumors with different muscle-infiltration status. To make the study fully reproducible and to advocate the criteria of FAIR (findability, accessibility, interoperability, and reusability) research data, we share the raw data, spectra annotations as well as all Galaxy histories and workflows. Data are available via ProteomeXchange with identifier PXD026459 and Galaxy results via https://github.com/foellmelanie/Bladder_MSI_Manuscript_Galaxy_links. Conclusion: Here, we show that translational MSI data analysis in a fully transparent and reproducible manner is possible and we would like to encourage the community to join our efforts.

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