Final Proposal SLIDE 2.pptx
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The document outlines a presentation on evaluating well performance and optimizing production from a gas field in Bangladesh. The objectives are to investigate the inflow performance relationship and vertical lift performance curves, evaluate well performance, and optimize gas field production. The methodology involves collecting data, learning software, generating curves, inputting parameters, determining the optimum flow rate. The study aims to optimize production by changing sensitivity parameters to accurately model reservoir flow capacity and determine future optimized production rates.
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ScienceDirectAvailable online at www.sciencedirect.comAvai.docx
ScienceDirect
Available online at www.sciencedirect.comAvailable online at www.sciencedirect.com
ScienceDirect
Energy Procedia 00 (2017) 000–000
www.elsevier.com/locate/procedia
1876-6102 © 2017 The Authors. Published by Elsevier Ltd.
Peer-review under responsibility of the Scientific Committee of The 15th International Symposium on District Heating and Cooling.
The 15th International Symposium on District Heating and Cooling
Assessing the feasibility of using the heat demand-outdoor
temperature function for a long-term district heat demand forecast
I. Andrića,b,c*, A. Pinaa, P. Ferrãoa, J. Fournierb., B. Lacarrièrec, O. Le Correc
aIN+ Center for Innovation, Technology and Policy Research - Instituto Superior Técnico, Av. Rovisco Pais 1, 1049-001 Lisbon, Portugal
bVeolia Recherche & Innovation, 291 Avenue Dreyfous Daniel, 78520 Limay, France
cDépartement Systèmes Énergétiques et Environnement - IMT Atlantique, 4 rue Alfred Kastler, 44300 Nantes, France
Abstract
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sales. Due to the changed climate conditions and building renovation policies, heat demand in the future could decrease,
prolonging the investment return period.
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The value of slope coefficient increased on average within the range of 3.8% up to 8% per decade, that corresponds to the
decrease in the number of heating hours of 22-139h during the heating season (depending on the combination of weather and
renovation scenarios considered). On the other hand, function intercept increased for 7.8-12.7% per decade (depending on the
coupled scenarios). The values suggested could be used to modify the function parameters for the scenarios considered, and
improve the accuracy of heat demand estimations.
© 2017 The Authors. Published by Elsevier Ltd.
Peer-rev.
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physical, and biological technologies. This study examines the integration of 4.0 technologies into
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countries. Healthcare is evolving significantly, with varied objectives across nations aiming to improve
population health. The study explores stakeholders' perceptions on critical success factors, identifying
challenges such as insufficiently trained personnel, organizational silos, and structural barriers to data
exchange. Facilitators for integration include cost reduction initiatives and interoperability policies.
Technologies like IoT, Big Data, AI, Machine Learning, and robotics enhance diagnostics, treatment
precision, and real-time monitoring, reducing errors and optimizing resource utilization. Automation
improves employee satisfaction and patient care, while Blockchain and telemedicine drive cost reductions.
Successful integration requires skilled professionals and supportive policies, promising efficient resource
use, lower error rates, and accelerated processes, leading to optimized global healthcare outcomes.
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IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
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ScienceDirectAvailable online at www.sciencedirect.comAvai.docx
ScienceDirect
Available online at www.sciencedirect.comAvailable online at www.sciencedirect.com
ScienceDirect
Energy Procedia 00 (2017) 000–000
www.elsevier.com/locate/procedia
1876-6102 © 2017 The Authors. Published by Elsevier Ltd.
Peer-review under responsibility of the Scientific Committee of The 15th International Symposium on District Heating and Cooling.
The 15th International Symposium on District Heating and Cooling
Assessing the feasibility of using the heat demand-outdoor
temperature function for a long-term district heat demand forecast
I. Andrića,b,c*, A. Pinaa, P. Ferrãoa, J. Fournierb., B. Lacarrièrec, O. Le Correc
aIN+ Center for Innovation, Technology and Policy Research - Instituto Superior Técnico, Av. Rovisco Pais 1, 1049-001 Lisbon, Portugal
bVeolia Recherche & Innovation, 291 Avenue Dreyfous Daniel, 78520 Limay, France
cDépartement Systèmes Énergétiques et Environnement - IMT Atlantique, 4 rue Alfred Kastler, 44300 Nantes, France
Abstract
District heating networks are commonly addressed in the literature as one of the most effective solutions for decreasing the
greenhouse gas emissions from the building sector. These systems require high investments which are returned through the heat
sales. Due to the changed climate conditions and building renovation policies, heat demand in the future could decrease,
prolonging the investment return period.
The main scope of this paper is to assess the feasibility of using the heat demand – outdoor temperature function for heat demand
forecast. The district of Alvalade, located in Lisbon (Portugal), was used as a case study. The district is consisted of 665
buildings that vary in both construction period and typology. Three weather scenarios (low, medium, high) and three district
renovation scenarios were developed (shallow, intermediate, deep). To estimate the error, obtained heat demand values were
compared with results from a dynamic heat demand model, previously developed and validated by the authors.
The results showed that when only weather change is considered, the margin of error could be acceptable for some applications
(the error in annual demand was lower than 20% for all weather scenarios considered). However, after introducing renovation
scenarios, the error value increased up to 59.5% (depending on the weather and renovation scenarios combination considered).
The value of slope coefficient increased on average within the range of 3.8% up to 8% per decade, that corresponds to the
decrease in the number of heating hours of 22-139h during the heating season (depending on the combination of weather and
renovation scenarios considered). On the other hand, function intercept increased for 7.8-12.7% per decade (depending on the
coupled scenarios). The values suggested could be used to modify the function parameters for the scenarios considered, and
improve the accuracy of heat demand estimations.
© 2017 The Authors. Published by Elsevier Ltd.
Peer-rev.
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Final Proposal SLIDE 2.pptx
- 1. DEPARTMENT OF PETROLEUM AND MINING ENGINEERING CHITTAGONG UNIVERSITY OF ENGINEERING AND TECHNOLOGY CHATTAGRAM-4349, BANGLADESH JUNE,2022 Presented by – Shumick Dev ID- 1607001 Supervised by – Dr. Mohammad Islam Miah Assistant Professor Department of Petroleum and Mining Engineering Chittagong University of Engineering & Technology EVALUATION OF WELL PERFORMANCE AND PRODUCTION OPTIMIZATION OFA GAS FIELD
- 2. PRESENTATION OUTLINE INTRODUCTION OBJECTIVES OF THE STUDY LITERATURE REVIEW METHODOLOGY CONCLUDING REMARKS ACKNOWLEDGEMNT
- 3. INTRODUCTION Natural gas is one of the most vital energy sources of Bangladesh. As population grows, so does the demand for energy in numerous areas. The efficiency of such energy output does not increase in lockstep with consumption. The overall usage of natural gas is 994.31 BCF/year and output is approximately 886.39 BCF/year. So, there is a natural gas deficit of around 107.38 BCF each year. In order to meet the demand , production optimization of the gas fields is very necessary.
- 4. OBJECTIVES OF THE STUDY The major objective of the study are listed below: To investigate the Inflow Performance Relationship (IPR) and Vertical Lift Performance (VLP) curve. ii. Evaluate well performance and optimization of production of the gas field.
- 5. LITERATURE REVIEW Production optimization refers to the process of determining and implementing optimum values for parameters in the production system in order to maximize hydrocarbon production rate. For optimization purposes IPR and VLP curve will be generated to find out the optimum flow rate by considering various sensitivity parameters. The optimization process will be done using IPM software. Fig: Graphical representation of IPR and VLP curve
- 6. • Water gas ratio • Condensate gas ratio • Reservoir pressure, temperature • Reservoir permeability • Reservoir thickness • Skin • Dietz shape factor LITERATURE REVIEW-Continued Sensitivity analyses parameters are listed below :
- 7. METHODOLOGY START DATA COLLECTION LEARNING ABOUT IPM SOFTWARE MATCH PVT DATAAND GENERATE IPR CURVE INPUT VARIOUS SYSTEM ANALYSES PARAMETERS VALUE GENERATE VLP CURVE DETERMINE OPTIMUM FLOW RATE FINISH SELECT MODEL OPTION
- 8. CONCLUDING REMARKS This study focused on the optimization process by changing the multiple sensitivity parameters to provide more accurate model of the flow capacity of the reservoir. By accurately modeling the reservoir the future production rate can be determined and the pressure drop that require for the optimized flow rate can also be determined The detailed study with results and discussions will present in PME 402 course.
- 9. Thank you