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Reserve Estimation of Initial Oil and Gas by using Volumetric Method in Mann ...ijtsrd
This research paper is focused to estimate the current production rate of the wells and to predict field remaining reserves. The remaining reserve depends on the production points that selected to represent the real well behavior, the way of dealing with the production data, and the human errors that might happen during the life of the field. Reserves estimating methods are usually categorized into three families analogy, volumetric, and performance techniques. Reserve Estimators should utilize the particular methods, and the number of methods, which in their professional judgment are most appropriate given i the geographic location, formation characteristics and nature of the property or group of properties with respect to which reserves are being estimated ii the amount and quality of available data and iii the significance of such property or group of properties in relation to the oil and gas properties with respect to which reserves are being estimated. In this research paper, the calculation of collecting data and sample by volumetric method are suggested to estimate the oil and gas production rate with time by using the geological configuration and the historical production data from CD 3700 3800 sand in Mann Oil Field. San Win "Reserve Estimation of Initial Oil and Gas by using Volumetric Method in Mann Oil Field" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd27945.pdfPaper URL: https://www.ijtsrd.com/engineering/petroleum-engineering/27945/reserve-estimation-of-initial-oil-and-gas-by-using-volumetric-method-in-mann-oil-field/san-win
Reserve Estimation of Initial Oil and Gas by using Volumetric Method in Mann ...ijtsrd
This research paper is focused to estimate the current production rate of the wells and to predict field remaining reserves. The remaining reserve depends on the production points that selected to represent the real well behavior, the way of dealing with the production data, and the human errors that might happen during the life of the field. Reserves estimating methods are usually categorized into three families analogy, volumetric, and performance techniques. Reserve Estimators should utilize the particular methods, and the number of methods, which in their professional judgment are most appropriate given i the geographic location, formation characteristics and nature of the property or group of properties with respect to which reserves are being estimated ii the amount and quality of available data and iii the significance of such property or group of properties in relation to the oil and gas properties with respect to which reserves are being estimated. In this research paper, the calculation of collecting data and sample by volumetric method are suggested to estimate the oil and gas production rate with time by using the geological configuration and the historical production data from CD 3700 3800 sand in Mann Oil Field. San Win "Reserve Estimation of Initial Oil and Gas by using Volumetric Method in Mann Oil Field" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd27945.pdfPaper URL: https://www.ijtsrd.com/engineering/petroleum-engineering/27945/reserve-estimation-of-initial-oil-and-gas-by-using-volumetric-method-in-mann-oil-field/san-win
SPE 165151 - The Long-term Production Performance of Deep HPHT Gas Condensat...John Downs
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The results of the production analysis provide a unique insight into the impact of a single type of specialist drill-in and completion fluid on the rate of recovery of hydrocarbon reserves from deeply-buried reservoirs in the North Sea
Advanced Materials International Forum, Bari 18-19 settembre, conferenza internazionale dedicata ai materiali avanzati e alle loro possibili applicazioni nei settori industriali, con un focus particolare sui trasporti (aerospazio, automotive, navale e cantieristico).
SPE 165151 The Long-Term Production Performance of Deep HPHT Gas Condensate ...jdowns
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Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
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JMeter webinar - integration with InfluxDB and GrafanaRTTS
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Length: 30 minutes
Session Overview
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During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
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- Demonstration of InfluxDB and Grafana using a practice web application
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https://www.rttsweb.com/jmeter-integration-webinar
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
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GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
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The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
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Gopinath Rebala
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Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
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Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
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Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
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In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
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See how to accelerate model training and optimize model performance with active learning
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Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
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19 Repository designs in bedded salt, the KOSINA-Project
1. Repository Designs in Bedded Salt,
the KOSINA-Project
Wilhelm Bollingerfehr, Sabine Prignitz, Niklas
Bertrams, Wolfgang Filbert, Eric Simo
DBE TECHNOLOGY GmbH
Middelburg, The Netherlands
September 5-7, 2017
2. W. Bollingerfehr – 09/2017
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2
Contents
Context
Objectives & Work Program
Repository Designs
Summary & Conclusions
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3
Context
New Site Selection Act as of July, 2013: revised in May 2017
Methodological approach: to compare safety of repository
systems in different host rocks in Germany:
requires the existence of generic repository concepts and
suitable safety and safety demonstration concepts for all
potential host rock formations (salt, clay, and crystalline rock)
repository concepts, safety and safety demonstration
concepts for domal salt and for clay exist, are in progress for
crystalline rock, and have to be developed for flat bedded salt
In summer 2015, BMWi/PTKA launched R&D-Project KOSINA to
develop a generic repository concept for heat-generating waste
in bedded salt as well as a suitable safety and safety
demonstration concept
Project partners: BGR, GRS, IfG, and DBE TEC
Objectives: already presented by Till Popp (IfG)
4. W. Bollingerfehr – 09/2017
8th US/German Workshop
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4
Work Packages
WP 2:
generic geologic
models
WP 4:
demonstration of
integrity
WP 3: safety and
safety demonstration concept
WP 5:
technical repository
concepts
WP 6: analysis of
radiologic consequences
WP 7:
operational safety
WP 8:
synthesis report
WP 1:
basic data and requirements
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1. Knowledge about Types and Amounts of Waste
2. Clear Understanding of the Geologic Environment
(e.g. type and composition of geologic formation at site)
See presentation of BGR and IfG (Till Popp)
3. Safety and Safety Demonstration Concept for Bedded Salt
See presentation of GRS (Jonathan Kindlein)
4. Design Temperature
max. 200°C
5. Regulatory Framework:
(e.g. atomic energy act, mining act, safety requirements, etc.)
Fundamentals for Repository Design Work
6. W. Bollingerfehr – 09/2017
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6
Repository Design for 4 Emplacement Alternatives
Type: flat bedded salt
1. Drift disposal of POLLUX
®
Casks
2. borehole disposal (horizontal) of canisters (BSK-H)
Type: salt pillow
3. borehole disposal (vertical) of canisters (BSK-V)
4. Direct disposal of CASTOR® Casks
Tasks:
• design temperature calculations (max. 200°C)
• design of the repository mine
• Transport and emplacement techniology and -systems
• backfilling and sealing concept
7. W. Bollingerfehr – 09/2017
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7
Types and Amounts of Waste
(according to National Waste Management Program)
Waste stream
Cask
Type Number
Spent fuel elements
from nuclear power
plants
PWR
UO2
MOX
12,450 FE
1,530 FE
6,415 tHM
765 tHM
POLLUX®-10
1,398
BWR
UO2
MOX
14,350 FE
1,250 FE
2,465 tHM
220 tHM
520
WWER UO2 5,050 FE 580 tHM 202
Total - - 10,445 tHM POLLUX®-10 2,120
Waste from
reprocessing
CSD-V AREVA NC (F) 3,024
POLLUX®-9
336
Sellafield Ltd.
(UK)
565 63
VEK (D) 140 16
CSD-B AREVA NC (F) 140 POLLUX®-9 16
CSD-C AREVA NC (F) 4,104 POLLUX®-9 456
Total 7,973 POLLUX®-9 887
Spent fuel elements
from prototype and
research reactors
AVR 288,161 FE (spherical)
CASTOR® THTR/AVR
152
THTR 300 617,606 FE (spherical) 305
KNK II 2,484 fuel rods
CASTOR® KNK 4
Otto-Hahn 52 fuel rods
FRM II 150 FE
CASTOR® MTR 2
30
BER II 120 FE 20
FRMZ 89 FE 1
RFR
950 FE
1 fuel rod canister with 16 fuel rods
18
Total - - 530
Compacted structural
components of fuel
elements
Total - MOSAIK® 2,620
8. W. Bollingerfehr – 09/2017
8th US/German Workshop
September 5 -7, 2017
8
Bedded Salt Disposal Concepts
Design Point
Design Point
Drift Disposal Concept Horizontal Borehole Concept
Repository Layout
Drift Disposal:
similar to Horizontal
Borehole LayoutPosition of the
Repository
in the Geology
Design Region
Design Point
9. W. Bollingerfehr – 09/2017
8th US/German Workshop
September 5 -7, 2017
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1. Drift Disposal of POLLUX® Casks
Emplacement Drift
Mine Layout
POLLUX® Cask
(Transport and emplacement technology available!)
10. W. Bollingerfehr – 09/2017
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Time in years
Temperaturein°C
2. Horizontal Borehole Disposal
BSK-H Canister
Tank Steel
Roller
13. W. Bollingerfehr – 09/2017
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13
Design Parameters:
• Borehole Length: 100 m
• BSK-H per Borehole: 16
2. Horizontal Borehole Disposal
Mine Layout
14. W. Bollingerfehr – 09/2017
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14
Design Point
Design Point
Vertical Borehole Disposal Concept Direct Disposal of Transport Casks
Repository Layout
for Transport Cask
Disposal
Position of
the Repository
in the Geology
Design Region
Repository
Layout
for Vertical
Borehole
Disposal
Salt Pillow Concepts
15. W. Bollingerfehr – 09/2017
8th US/German Workshop
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15
Design parameters:
• Borehole depth: 100 m
• BSK per borehole: 15
Mine Layout
SF Canisters (BSK-V)
3. Vertical Borehole Disposal
16. W. Bollingerfehr – 09/2017
8th US/German Workshop
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4. Direct Disposal of Transport- and Storage Casks
17. W. Bollingerfehr – 09/2017
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17
TransportationdriftforTSCs
Emplacement drift
4. Direct Disposal of Transport and Storage Casks
Tranport and Storage Cask
e.g. CASTOR® V/19
Design parameters:
• Borehole depth: ca. 13 m
• Cask per borehole: 1
18. W. Bollingerfehr – 09/2017
8th US/German Workshop
September 5 -7, 2017
18
Summary & Conclusions
Design fundamentals were made available within KOSINA
types & amounts of waste (DBE TEC)
generic geological models (BGR +IfG),
safety concept (GRS)
laws, ordinances, safety requirements, etc. (all to the public
available)
Repository designs for 4 emplacement alternatives developed in
consistence with generic geological model conditions
R&D project KOSINA will fill a gap existing in repository design
and safety demonstration concepts in Germany
R&D project KOSINA results/final report will be available in
spring 2018, prior to the start of a public debate (approx. autumn
2018) about draft ordinance on revised repository safety
requirements and ordinance on safety investigations
19. W. Bollingerfehr – 09/2017
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Thank you for your attention.
DBE TECHNOLOGY GmbH