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News Article | November 15, 2016
Site: www.eurekalert.org

One of the largest projects being undertaken at the CERN research center near Geneva - the ATLAS Experiment - is about to be upgraded. ATLAS played a crucial role in the discovery of the Higgs boson in 2012. With a length of 46 meters and a diameter of 25 meters the ATLAS detector is thus the largest device of its kind being used at a particle accelerator. It is planned to upgrade the ATLAS detector from late 2018 onwards. Researchers at Johannes Gutenberg University Mainz (JGU) and CERN have developed an initial prototype for this endeavor, which has now been installed at the ATLAS detector. Here it is recording particle collisions from the Large Hadron Collider (LHC). "Our prototype represents a blueprint for the future particle detectors to be produced throughout the world for installation in ATLAS in 2019/2020," explained Professor Matthias Schott, who was appointed to a Lichtenberg professorship in Experimental Particle Physics at JGU in 2013. He and his work group have been collaborating with their colleagues at CERN for several years on the development of this groundbreaking prototype. The ATLAS Experiment is one of the four major particle detectors at the LHC. It was specifically designed to study the fundamental components of matter and to learn more about the Higgs boson. The muon spectrometer of the ATLAS detector plays a central role here as it detects and measures muons that can be created by the decay of the Higgs boson. The muon detectors are mounted in three layers on both external sides of the cylinder-like ATLAS detector. The innermost layer, known as the Small Wheel, is to be replaced by innovative microstructure gas detectors as part of the upgrade project. These so-called Micromegas detectors employ a technology that was developed recently and has not yet been used in such large-scale projects. "The several layers of the New Small Wheels with their 10 meter in diameter will provide an active detector surface area of 2500 square meters and will thus be able to cover a wide range of the whole muon spectrum," added Schott. Professor Matthias Schott and his team first tested the prototype detector in the Mainz Microtron MAMI, a particle accelerator located on the JGU campus, before installing it at the muon spectrometer of the ATLAS experiment. The tests have been on-going for several weeks and to date everything seems to be going to plan. "We have reached a milestone and the results of our initial tests are really very promising," Schott concluded. The Mainz-based physicists are already confident that it will be possible to successfully complete the major upgrade project in 2018 based on this masterpiece of technology. Those working on the New Small Wheel (NSW) will be the universities in Freiburg, Munich, Würzburg, and Mainz, partner institutes in France, Greece, Italy, and Russia as well as researchers at CERN. In the coming years, Professor Matthias Schott and his team will be able to rely on major support from the detector laboratory of the Cluster of Excellence 'Precision Physics, Fundamental Interactions and Structure of Matter" (PRISMA) at Mainz University. Several million euros are to be invested in the project as a whole. The upgrade work is planned to be completed by 2021 so that ATLAS will then be able to record even more data than ever before from more frequent particle collisions, thus providing new insights into the fundamental building blocks of matter. Images: http://www. Graphical simulation of a particle collision recorded by the prototype detector of the ATLAS Experiment photo/©: ATLAS Collaboration http://www. Tai-Hua Lin (r.) and Andreas Düdder (l.), both doctoral candidates at Mainz University, installing the prototype detector in the ATLAS system photo/©: private Further information: Professor Dr. Matthias Schott Experimental Particle and Astroparticle Physics (ETAP) Institute of Physics Johannes Gutenberg University Mainz (JGU) 55099 Mainz, GERMANY phone +49 6131 39-25985 e-mail: mschott@cern.ch http://www.


— This report studies Remote Renewable Management System in Global market, especially in North America, Europe, China, Japan, Southeast Asia and India, focuses on top manufacturers in global market, with production, price, revenue and market share for each manufacturer, covering Cummins ETAP Northern Power OutBack Power SMA ABB GE 6th Energy Dexdyne For more information or any query mail at sales@wiseguyreports.com Market Segment by Regions, this report splits Global into several key Regions, with production, consumption, revenue, market share and growth rate of Remote Renewable Management System in these regions, from 2011 to 2021 (forecast), like North America Europe China Japan Southeast Asia India Split by product type, with production, revenue, price, market share and growth rate of each type, can be divided into Type I Type II Type III Split by application, this report focuses on consumption, market share and growth rate of Remote Renewable Management System in each application, can be divided into Application 1 Application 2 Application 3 Global Remote Renewable Management System Market Research Report 2016 1 Remote Renewable Management System Market Overview 1.1 Product Overview and Scope of Remote Renewable Management System 1.2 Remote Renewable Management System Segment by Type 1.2.1 Global Production Market Share of Remote Renewable Management System by Type in 2015 1.2.2 Type I 1.2.3 Type II 1.2.4 Type III 1.3 Remote Renewable Management System Segment by Application 1.3.1 Remote Renewable Management System Consumption Market Share by Application in 2015 1.3.2 Application 1 1.3.3 Application 2 1.3.4 Application 3 1.4 Remote Renewable Management System Market by Region 1.4.1 North America Status and Prospect (2011-2021) 1.4.2 Europe Status and Prospect (2011-2021) 1.4.3 China Status and Prospect (2011-2021) 1.4.4 Japan Status and Prospect (2011-2021) 1.4.5 Southeast Asia Status and Prospect (2011-2021) 1.4.6 India Status and Prospect (2011-2021) 1.5 Global Market Size (Value) of Remote Renewable Management System (2011-2021) 2 Global Remote Renewable Management System Market Competition by Manufacturers 2.1 Global Remote Renewable Management System Production and Share by Manufacturers (2015 and 2016) 2.2 Global Remote Renewable Management System Revenue and Share by Manufacturers (2015 and 2016) 2.3 Global Remote Renewable Management System Average Price by Manufacturers (2015 and 2016) 2.4 Manufacturers Remote Renewable Management System Manufacturing Base Distribution, Sales Area and Product Type 2.5 Remote Renewable Management System Market Competitive Situation and Trends 2.5.1 Remote Renewable Management System Market Concentration Rate 2.5.2 Remote Renewable Management System Market Share of Top 3 and Top 5 Manufacturers 2.5.3 Mergers & Acquisitions, Expansion 7 Global Remote Renewable Management System Manufacturers Profiles/Analysis 7.1 Cummins 7.1.1 Company Basic Information, Manufacturing Base and Its Competitors 7.1.2 Remote Renewable Management System Product Type, Application and Specification 7.1.2.1 Type I 7.1.2.2 Type II 7.1.3 Cummins Remote Renewable Management System Production, Revenue, Price and Gross Margin (2015 and 2016) 7.1.4 Main Business/Business Overview 7.2 ETAP 7.2.1 Company Basic Information, Manufacturing Base and Its Competitors 7.2.2 Remote Renewable Management System Product Type, Application and Specification 7.2.2.1 Type I 7.2.2.2 Type II 7.2.3 ETAP Remote Renewable Management System Production, Revenue, Price and Gross Margin (2015 and 2016) 7.2.4 Main Business/Business Overview 7.3 Northern Power 7.3.1 Company Basic Information, Manufacturing Base and Its Competitors 7.3.2 Remote Renewable Management System Product Type, Application and Specification 7.3.2.1 Type I 7.3.2.2 Type II 7.3.3 Northern Power Remote Renewable Management System Production, Revenue, Price and Gross Margin (2015 and 2016) 7.3.4 Main Business/Business Overview 7.4 OutBack Power 7.4.1 Company Basic Information, Manufacturing Base and Its Competitors 7.4.2 Remote Renewable Management System Product Type, Application and Specification 7.4.2.1 Type I 7.4.2.2 Type II 7.4.3 OutBack Power Remote Renewable Management System Production, Revenue, Price and Gross Margin (2015 and 2016) 7.4.4 Main Business/Business Overview 7.5 SMA 7.5.1 Company Basic Information, Manufacturing Base and Its Competitors 7.5.2 Remote Renewable Management System Product Type, Application and Specification 7.5.2.1 Type I 7.5.2.2 Type II 7.5.3 SMA Remote Renewable Management System Production, Revenue, Price and Gross Margin (2015 and 2016) 7.5.4 Main Business/Business Overview 7.6 ABB 7.6.1 Company Basic Information, Manufacturing Base and Its Competitors 7.6.2 Remote Renewable Management System Product Type, Application and Specification 7.6.2.1 Type I 7.6.2.2 Type II 7.6.3 ABB Remote Renewable Management System Production, Revenue, Price and Gross Margin (2015 and 2016) 7.6.4 Main Business/Business Overview 7.7 GE 7.7.1 Company Basic Information, Manufacturing Base and Its Competitors 7.7.2 Remote Renewable Management System Product Type, Application and Specification 7.7.2.1 Type I 7.7.2.2 Type II 7.7.3 GE Remote Renewable Management System Production, Revenue, Price and Gross Margin (2015 and 2016) 7.7.4 Main Business/Business Overview 7.8 6th Energy 7.8.1 Company Basic Information, Manufacturing Base and Its Competitors 7.8.2 Remote Renewable Management System Product Type, Application and Specification 7.8.2.1 Type I 7.8.2.2 Type II 7.8.3 6th Energy Remote Renewable Management System Production, Revenue, Price and Gross Margin (2015 and 2016) 7.8.4 Main Business/Business Overview 7.9 Dexdyne 7.9.1 Company Basic Information, Manufacturing Base and Its Competitors 7.9.2 Remote Renewable Management System Product Type, Application and Specification 7.9.2.1 Type I 7.9.2.2 Type II 7.9.3 Dexdyne Remote Renewable Management System Production, Revenue, Price and Gross Margin (2015 and 2016) 7.9.4 Main Business/Business Overview For more information or any query mail at sales@wiseguyreports.com ABOUT US: Wise Guy Reports is part of the Wise Guy Consultants Pvt. Ltd. and offers premium progressive statistical surveying, market research reports, analysis & forecast data for industries and governments around the globe. Wise Guy Reports features an exhaustive list of market research reports from hundreds of publishers worldwide. We boast a database spanning virtually every market category and an even more comprehensive collection of market research reports under these categories and sub-categories. For more information, please visit https://www.wiseguyreports.com


WiseGuyReports.Com Publish a New Market Research Report On –“Remote Renewable Management System Market Global Potential Growth,Share,Demand and Analysis Of Key Players Research Report Forecasts to 2021”. This report studies Remote Renewable Management System in Global market, especially in North America, Europe, China, Japan, Southeast Asia and India, focuses on top manufacturers in global market, with production, price, revenue and market share for each manufacturer, covering  Cummins  ETAP  Northern Power  OutBack Power  SMA  ABB  GE  6th Energy  Dexdyne For more information or any query mail at [email protected] Market Segment by Regions, this report splits Global into several key Regions, with production, consumption, revenue, market share and growth rate of Remote Renewable Management System in these regions, from 2011 to 2021 (forecast), like  North America  Europe  China  Japan  Southeast Asia  India Split by product type, with production, revenue, price, market share and growth rate of each type, can be divided into  Type I  Type II  Type III Split by application, this report focuses on consumption, market share and growth rate of Remote Renewable Management System in each application, can be divided into  Application 1  Application 2  Application 3 Global Remote Renewable Management System Market Research Report 2016  1 Remote Renewable Management System Market Overview  1.1 Product Overview and Scope of Remote Renewable Management System  1.2 Remote Renewable Management System Segment by Type  1.2.1 Global Production Market Share of Remote Renewable Management System by Type in 2015  1.2.2 Type I  1.2.3 Type II  1.2.4 Type III  1.3 Remote Renewable Management System Segment by Application  1.3.1 Remote Renewable Management System Consumption Market Share by Application in 2015  1.3.2 Application 1  1.3.3 Application 2  1.3.4 Application 3  1.4 Remote Renewable Management System Market by Region  1.4.1 North America Status and Prospect (2011-2021)  1.4.2 Europe Status and Prospect (2011-2021)  1.4.3 China Status and Prospect (2011-2021)  1.4.4 Japan Status and Prospect (2011-2021)  1.4.5 Southeast Asia Status and Prospect (2011-2021)  1.4.6 India Status and Prospect (2011-2021)  1.5 Global Market Size (Value) of Remote Renewable Management System (2011-2021) 2 Global Remote Renewable Management System Market Competition by Manufacturers  2.1 Global Remote Renewable Management System Production and Share by Manufacturers (2015 and 2016)  2.2 Global Remote Renewable Management System Revenue and Share by Manufacturers (2015 and 2016)  2.3 Global Remote Renewable Management System Average Price by Manufacturers (2015 and 2016)  2.4 Manufacturers Remote Renewable Management System Manufacturing Base Distribution, Sales Area and Product Type  2.5 Remote Renewable Management System Market Competitive Situation and Trends  2.5.1 Remote Renewable Management System Market Concentration Rate  2.5.2 Remote Renewable Management System Market Share of Top 3 and Top 5 Manufacturers  2.5.3 Mergers & Acquisitions, Expansion 7 Global Remote Renewable Management System Manufacturers Profiles/Analysis  7.1 Cummins  7.1.1 Company Basic Information, Manufacturing Base and Its Competitors  7.1.2 Remote Renewable Management System Product Type, Application and Specification  7.1.2.1 Type I  7.1.2.2 Type II  7.1.3 Cummins Remote Renewable Management System Production, Revenue, Price and Gross Margin (2015 and 2016)  7.1.4 Main Business/Business Overview  7.2 ETAP  7.2.1 Company Basic Information, Manufacturing Base and Its Competitors  7.2.2 Remote Renewable Management System Product Type, Application and Specification  7.2.2.1 Type I  7.2.2.2 Type II  7.2.3 ETAP Remote Renewable Management System Production, Revenue, Price and Gross Margin (2015 and 2016)  7.2.4 Main Business/Business Overview  7.3 Northern Power  7.3.1 Company Basic Information, Manufacturing Base and Its Competitors  7.3.2 Remote Renewable Management System Product Type, Application and Specification  7.3.2.1 Type I  7.3.2.2 Type II  7.3.3 Northern Power Remote Renewable Management System Production, Revenue, Price and Gross Margin (2015 and 2016)  7.3.4 Main Business/Business Overview  7.4 OutBack Power  7.4.1 Company Basic Information, Manufacturing Base and Its Competitors  7.4.2 Remote Renewable Management System Product Type, Application and Specification  7.4.2.1 Type I  7.4.2.2 Type II  7.4.3 OutBack Power Remote Renewable Management System Production, Revenue, Price and Gross Margin (2015 and 2016)  7.4.4 Main Business/Business Overview  7.5 SMA  7.5.1 Company Basic Information, Manufacturing Base and Its Competitors  7.5.2 Remote Renewable Management System Product Type, Application and Specification  7.5.2.1 Type I  7.5.2.2 Type II  7.5.3 SMA Remote Renewable Management System Production, Revenue, Price and Gross Margin (2015 and 2016)  7.5.4 Main Business/Business Overview  7.6 ABB  7.6.1 Company Basic Information, Manufacturing Base and Its Competitors  7.6.2 Remote Renewable Management System Product Type, Application and Specification  7.6.2.1 Type I  7.6.2.2 Type II  7.6.3 ABB Remote Renewable Management System Production, Revenue, Price and Gross Margin (2015 and 2016)  7.6.4 Main Business/Business Overview  7.7 GE  7.7.1 Company Basic Information, Manufacturing Base and Its Competitors  7.7.2 Remote Renewable Management System Product Type, Application and Specification  7.7.2.1 Type I  7.7.2.2 Type II  7.7.3 GE Remote Renewable Management System Production, Revenue, Price and Gross Margin (2015 and 2016)  7.7.4 Main Business/Business Overview  7.8 6th Energy  7.8.1 Company Basic Information, Manufacturing Base and Its Competitors  7.8.2 Remote Renewable Management System Product Type, Application and Specification  7.8.2.1 Type I  7.8.2.2 Type II  7.8.3 6th Energy Remote Renewable Management System Production, Revenue, Price and Gross Margin (2015 and 2016)  7.8.4 Main Business/Business Overview  7.9 Dexdyne  7.9.1 Company Basic Information, Manufacturing Base and Its Competitors  7.9.2 Remote Renewable Management System Product Type, Application and Specification  7.9.2.1 Type I  7.9.2.2 Type II  7.9.3 Dexdyne Remote Renewable Management System Production, Revenue, Price and Gross Margin (2015 and 2016)  7.9.4 Main Business/Business Overview For more information or any query mail at [email protected] Wise Guy Reports is part of the Wise Guy Consultants Pvt. Ltd. and offers premium progressive statistical surveying, market research reports, analysis & forecast data for industries and governments around the globe. Wise Guy Reports features an exhaustive list of market research reports from hundreds of publishers worldwide. We boast a database spanning virtually every market category and an even more comprehensive collection of market research reports under these categories and sub-categories.


Global Power System State Estimator Market By Software (Utility State Estimator Software And Power Control Centers) And Solution (Weighted Lease Square (WLS) Method, Least Absolute Value (LAV) Method And Others) For Transmission Network And Distribution Network Application: Global Industry Perspective, Comprehensive Analysis, Size, Share, Growth, Segment, Trends and Forecast, 2014 – 2020 The report covers forecast and analysis for the power system state estimator market on a global and regional level. The study provides historic data of 2014 along with a forecast from 2015 to 2020 based revenue (USD Million). The study includes drivers and restraints for the power system state estimator along with the impact they have on the demand over the forecast period. Additionally, the report includes study of opportunities available in the power system state estimator on a global level. In order to give the users of this report a comprehensive view on the power system state estimator market, we have included a detailed competitive scenario, and product portfolio of key vendors. To understand the competitive landscape in the market, an analysis of Porter’s five forces model for the power system state estimator has also been included. The study encompasses a market attractiveness analysis, wherein application segments are benchmarked based on their market size, growth rate and general attractiveness. The study provides a decisive view on the power system state estimator by segmenting the market based on software, solution, and applications. Software segment include utility state estimator software and power control centers. On the basis on solutions, power system state estimator has been classified into weighted lease square (WLS) method, least absolute value (LAV) method and other. All the application segments have been analyzed based on present and future trends and the market is estimated from 2014 to 2020. Key application markets covered under this study includes transmission network and distribution network. The regional segmentation includes the current and forecast demand for North America, Europe, Asia Pacific, Latin America and Middle East and Africa. The report covers detailed competitive outlook including company profiles of the key participants operating in the global market. Key players profiled in the report include ABB Ltd, Alstom SA, CYME International, DIgSILENT GmbH, Electrocon International, Inc., EPFL (Simsen), ETAP Electrical Engineering Software, GDF SUEZ Energy (ENGIE), GE Power, Inspired Interfaces (Retic Master), Kepco Inc, Neplan AG, Nexant, Open Systems International, Inc., PowerWorld Corporation, PRDC (Mipower), Siemens AG, Siemens PTI, and SKM Systems Analysis, Inc. This report segments the global power system state estimator market as follows:


News Article | December 15, 2016
Site: www.businesswire.com

IRVINE, Calif.--(BUSINESS WIRE)--ETAP and Noida Power Company Limited (NPCL) have successfully deployed ETAP’s model-based Advance Distribution Management System (ADMS) based on NPCL’s smart grid initiative – one of the largest smart grid projects in India. As one of the fastest growing utilities near New Delhi, India, NPCL serves a demanding industrial, commercial, and residential customer base of 71,000. NPCL’s electric utility system transformation is a part of the “Smart Grid Vision and Roadmap for India” which was launched a few years back. With a rapid customer growth and an increased demand for new substations and distribution network, NPCL took the decision in 2015 to implement ETAP ADMS to improve its network reliability, performance, and response to customers. "NPCL is very proud on the successful Go-Live of ETAP SCADA system and eagerly awaiting for deployment of the latest version covering enhanced functionalities to meet the overall requirements. NPCL and ETAP joined hands together to meet the unique requirements of NPCL’s Automation & Operational needs,” stated RC Agrawal, CEO of NPCL. “The persistence and strong alignment between NPCL and ETAP helped in achieving this critical milestone despite project implementations challenges." Adding to the above, Mr. Praveen Goyal, GM & Head of Automation of NPCL, noted that the transparency and open communication between NPCL and ETAP helped in converting the legacy technology to the latest platform. “With ETAP, NPCL is proud to have this one of its one-of-a-kind implementation Go-Live. The implementation of DMS and OMS enables NPCL to embark its journey towards smart grid implementation in the country wherein the Automation of every minute requirement has been taken care through business process-oriented implementation.” “This notable milestone for ETAP ADMS solution is enabling the transformation of NPCL’s network into an intelligent, adaptive, and sustainable grid that provides reliable and quality energy for their customers,” said Dr. Farrokh Shokooh, CEO of ETAP. “We are determined to continue developing and deploying our innovating technologies to aid electric utilities like Noida Power to reach their vision of a smarter grid.” Noida Power Company Limited distributes power in Greater Noida, near Delhi in Uttar Pradesh, which is being developed as an industrial hub and urban settlement. The Company is a joint venture between the RP-Sanjiv Goenka Group and Greater Noida Industrial Development Authority. Currently, the peak load served is 265 MW as against 17 MW in 1994-95, reflecting a steady increase in consumer demand. The customer base has expanded from 4677 in 1993 to 70994 in March 2016. The load profile is dominated by large and heavy industries that constitute 59% of energy sale and contribute as much as 62% of the Company’s income. Urban, rural institutional and smaller industrial consumers account for the balance business. ETAP is the global market and technology leader in modeling, design, analysis, optimization, monitoring, control, and automation software for electrical power systems. The company has been powering success for over 30 years by providing the most comprehensive and widely-used enterprise solutions for generation, transmission, distribution, industrial, transportation, and low-voltage power systems. Founded in 1986, ETAP is headquartered in Irvine, California, USA, with over 70 offices around the world. Certain names and/or logos used in this document may constitute trademarks, service marks, or trade names of ETAP/Operation Technology or other entities.


Saber A.Y.,ETAP | Venayagamoorthy G.K.,Missouri University of Science and Technology
IEEE Systems Journal | Year: 2012

The power system and transportation sector are our planet's main sources of greenhouse gas emissions. Renewable energy sources (RESs), mainly wind and solar, can reduce emissions from the electric energy sector; however, they are very intermittent. Likewise, next generation plug-in vehicles, which include plug-in hybrid electric vehicles and electric vehicles with vehicletogrid capability, referred to as gridable vehicles (GVs) by the authors, can reduce emissions from the transportation sector. GVs can be used as loads, energy sources (small portable power plants) and energy storage units in a smart grid integrated with renewable energy sources. However, uncertainty surrounds the controllability of GVs. Forecasted load is used in unit commitment (UC); however, the actual load usually differs from the forecasted one. Thus, UC with plug-in vehicles under uncertainty in a smart grid is very complex considering smart charging and discharging to and from various energy sources and loads to reduce both cost and emissions. A set of valid scenarios is considered for the uncertainties of wind and solar energy sources, load and GVs. In this paper, an optimization algorithm is used to minimize the expected cost and emissions of the UC schedule for the set of scenarios. Results are presented indicating that the smart grid has the potential to maximally utilize RESs and GVs to reduce cost and emissions from the power system and transportation sector. © 2011 IEEE.


Ben Alaya S.,Etap | Ben Reguiga M.S.,Etap
Society of Petroleum Engineers - SPE North Africa Technical Conference and Exhibition 2015, NATC 2015 | Year: 2015

Late Jurassic Mrabtine formation, limited at the bottom by Tlalett formation and overlain by Early Cretaceous silicoclastics, is both reservoir and seal. It is a proven oil bearing complex sandstone reservoir, in southern Gulf of Gabes, onshore Tunisia. The seal consists in the upper evaporitic Member of Mrabtine formation. Detailed core study provided better knowledge of its heterogeneous lithology and petrophysical properties, in order to identify the different rock types and evaluate the reservoir potential. In Jeffara Basin, the gross reservoir thickness can reach more than 300 m. Detailed sedimentological and petrophysical study of more than 40 meters of core, consisting in core logging, microfacies analysis, SEM analysis and routine core analysis (He-porosity, horizontal air-permeability and grain density) were undertaken to determine the different facies types and their relative petrophysical properties. In fact, the sampling was made considering the changes in the lithology. Both sedimentological and petrophysical analyses were used to define the different rock types characterizing Mrabtine reservoir. The study revealed complex lithology and mineralogy of Mrabtine formation. The sandstone levels are, indeed, intercalated by several thin (millimetric to centimetric) and relatively thick carbonate layers (up to 60 cm). At the base of the reservoir, the carbonates thickness may extend to 7 m. Furthermore, there are frequent silty and shaly layers intercalated within the reservoir. Eight facies types may be distinguished: 1) sandstones with small scale cross-stratifications, 2) bioturbated sandstones, 3) silty sandstones, 4) bioturbated dolomites, 5) dolomitic limestones, 6) bioclastic limestones and/or dolomites, 7) siltstones and shales and 8) Evaporites. The sandstones are mostly fine quartzitic, with common occurrence of clay minerals (kaolinite, dickite and illite) and some iron sulfides and carbonates (pyrite, ankerite and siderite). The facies associations correspond to shallowing upward cycles, going from shaly, carbonate and silty deposits, to mostly fine sandy wave- and tidal-dominated shallow marine sediments, capped by evaporitic chicken-wire anhydrites. The routine core analysis confirmed the heterogeneity of the reservoir due to its complex lithology and mineralogy. The sandstones present the best reservoir potential (up to 25 % porosity and up to 425 mD permeability) and the best poroperms are recorded within cross-stratified sandstones. The fine low poro-perm carbonate, silty and shaly layers constitute flow barriers which should be considered in geological reservoir modeling. The complex lithology of the Mrabtine formation should also be taken into account in case of scale prevention studies to avoid injecting fluids which are incompatible with the variable matrix nature of Mrabtine reservoir. Copyright © 2015 Society of Petroleum Engineers.


Marzouk L.,ETAP
2nd EAGE Workshop on Rock Physics 2014 - Rock Physics: Integration and Beyond | Year: 2014

Knowledge of reservoir evaluation is helpful in the interpretation of well-logging data, where the hydrocarbon saturation is expected as the final result by Archie equation. It is calculated from the deep resistivity, water formation resistivity and porosity. Porosity is calculated from the bulk density, neutron and sonic are measured directly in the well. The Archie evaluation, in the low resistivity layers, is characterized by high water saturation. The MDT tests in the low resistivity pay prove several oil samples. For this incompatibility interpretation of low-resistivity-contrast pay zones needs an analysis of the reservoir composition in the study area. The divergence results between Archie and well test allow integrating a new evaluation approach. However, the proposed interpretation framework does allow the incorporation of new logging technology as this becomes established. Nuclear magnetic resonance (NMR) is a useful tool in reservoir evaluation. The objective of this study is to predict petrophysical properties from NMR T2 distributions. The evaluation of NMR relaxation time distributions estimates of pore-size distributions. Irreducible water-saturation estimates from NMR-based pore-size distributions. In this study, we look at the downhole NMR measurements to determine pore geometry and volumetrics within a reservoir (free fluid index). NMR measures the net magnetization of a hydrogen atom (H) in the presence of an external magnetic field. Hydrogen has a relatively large magnetic moment and is abundant in both the water and hydrocarbons that exist in the pore space of sedimentary rocks. NMR measurements provide information about the pore structure (Sp), the amount of fluid in situ (FFI), interactions between the pore fluids, and surface of pores and provide important information for evaluation of low-resistivity layers.


Soua M.,ETAP
75th European Association of Geoscientists and Engineers Conference and Exhibition 2013 Incorporating SPE EUROPEC 2013: Changing Frontiers | Year: 2013

In summary, several black shales levels were described within the late Hauterivian sections from different domains of Tunisia, notably the NE and SE. For this purpose, geophysical borehole log tools are used here (spectral Gamma ray, Uranium, Thorium, Th/U ratio) in order to characterize better the Faraoni event in Tunisia. In addition, the Khanguet Aicha section (northern Chott basin) has been studied for its magnetic susceptibility and carbonate content. In Gulf of Gabes the late Hauterivian section displays high organic carbon contents of up to 1.8% with significant oil prone source potential of up to 8.3 kg/ton. In the Gulf of Tunis, the Faraoni Level appears to be represented by three to four laminated black shale levels within pelagic mudstones and wackestones of the M'cherga Formation. In the Khanguet Aicha Section, the Faraoni Level is expressed by 2m-thick laminated shales within a carbonate, siltstone and marls succession. In summary, this study consists also of magnetic susptibility analysis (SM), Sequence stratigraphic and biostratigraphic constraints presenting published and umpublished data. Copyright © (2012) by the European Association of Geoscientists & Engineers All rights reserved.


Eni signed today in Tunis a cooperation agreement for the development of projects generating energy from renewable sources. The agreement strengthens the relations between Eni and ETAP, facilitates the development of new business opportunities and contributes to the energy development plan of the country. San Donato Milanese (Milan), 30-Nov-2016 — /EuropaWire/ — Eni signed today in Tunis a cooperation agreement for the development of projects generating energy from renewable sources with the state company Entreprise Tunisienne d’Activités Pétrolières (ETAP), under the patronage of the Tunisian minister of Energy, Mines and Renewable Energies. The agreement strengthens the relations between Eni and ETAP, facilitates the development of new business opportunities and contributes to the energy development plan of the country. This initiative is part of Eni’s activities relaunch in Tunisia and broadens the scope of cooperation of the two companies through implementation of renewable energy projects also targeting the optimization of the oil sites energy resources and reduction of CO2 emissions, in line with Eni’s strategic objectives. The agreement was signed at the international conference “Tunisia 2020”, which aims to promote support to the economic, social and sustainable development of Tunisia. Eni operates in Tunisia in the exploration and production of hydrocarbons since the early 60’s, with the discovery of El Borma oil field, still operating. Eni’s production in the country currently stands on 11 thousand barrels of oil equivalent per day. Press Office:Tel. +39.0252031875 – +39.0659822030 Freephone for shareholders (from Italy): 800940924 Freephone for shareholders (from abroad): + 80011223456 Switchboard: +39-0659821

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