Integrated Optimization Models and Problems of Gas Production, Distribution, and Storage

2014 ◽  
Vol 50 (3) ◽  
pp. 445-451 ◽  
Author(s):  
E. E. Kirik ◽  
A. P. Yakovleva
Keyword(s):  
Gas Production ◽  
Optimization Models ◽  
Integrated Optimization ◽  
Production Distribution ◽  
And Storage

Making the Most of the Internet for Failure Analysis

1998 ◽  
Author(s):  
Dan J. Bodoh
Keyword(s):  
New Media ◽  
Failure Analysis ◽  
Digital Media ◽  
Optimization Theory ◽  
The Internet ◽  
Digital Medium ◽  
Production Distribution ◽  
Digital Production ◽  
Computer Monitors ◽  
And Storage

Abstract The growth of the Internet over the past four years provides the failure analyst with a new media for communicating his results. The new digital media offers significant advantages over analog publication of results. Digital production, distribution and storage of failure analysis results reduces copying costs and paper storage, and enhances the ability to search through old analyses. When published digitally, results reach the customer within minutes of finishing the report. Furthermore, images on the computer screen can be of significantly higher quality than images reproduced on paper. The advantages of the digital medium come at a price, however. Research has shown that employees can become less productive when replacing their analog methodologies with digital methodologies. Today's feature-filled software encourages "futzing," one cause of the productivity reduction. In addition, the quality of the images and ability to search the text can be compromised if the software or the analyst does not understand this digital medium. This paper describes a system that offers complete digital production, distribution and storage of failure analysis reports on the Internet. By design, this system reduces the futzing factor, enhances the ability to search the reports, and optimizes images for display on computer monitors. Because photographic images are so important to failure analysis, some digital image optimization theory is reviewed.

Diffusion-Based Modeling of Gas Transport in Organic-Rich Ultratight Reservoirs

SPE Journal ◽  
2021 ◽  
pp. 1-26
Author(s):  
Zizhong Liu ◽  
Hamid Emami-Meybodi
Keyword(s):  
Diffusion Coefficient ◽  
Adsorption Capacity ◽  
Surface Diffusion ◽  
Diffusion Coefficients ◽  
Gas Transport ◽  
Knudsen Diffusion ◽  
Gas Production ◽  
Hydrocarbon Transport ◽  
The Impact ◽  
And Storage

Summary The complex pore structure and storage mechanism of organic-rich ultratight reservoirs make the hydrocarbon transport within these reservoirs complicated and significantly different from conventional oil and gas reservoirs. A substantial fraction of pore volume in the ultratight matrix consists of nanopores in which the notion of viscous flow may become irrelevant. Instead, multiple transport and storage mechanisms should be considered to model fluid transport within the shale matrix, including molecular diffusion, Knudsen diffusion, surface diffusion, and sorption. This paper presents a diffusion-based semianalytical model for a single-component gas transport within an infinite-actingorganic-rich ultratight matrix. The model treats free and sorbed gas as two phases coexisting in nanopores. The overall mass conservation equation for both phases is transformed into one governing equation solely on the basis of the concentration (density) of the free phase. As a result, the partial differential equation (PDE) governing the overall mass transport carries two newly defined nonlinear terms; namely, effective diffusion coefficient, De, and capacity factor, Φ. The De term accounts for the molecular, Knudsen, and surface diffusion coefficients, and the Φ term considers the mass exchange between free and sorbed phases under sorption equilibrium condition. Furthermore, the ratio of De/Φ is recognized as an apparent diffusion coefficient Da, which is a function of free phase concentration. The nonlinear PDE is solved by applying a piecewise-constant-coefficient technique that divides the domain under consideration into an arbitrary number of subdomains. Each subdomain is assigned with a constant Da. The diffusion-based model is validated against numerical simulation. The model is then used to investigate the impact of surface and Knudsen diffusion coefficients, porosity, and adsorption capacity on gas transport within the ultratight formation. Further, the model is used to study gas transport and production from the Barnett, Marcellus, and New Albany shales. The results show that surface diffusion significantly contributes to gas production in shales with large values of surface diffusion coefficient and adsorption capacity and small values of Knudsen diffusion coefficient and total porosity. Thus, neglecting surface diffusion in organic-rich shales may result in the underestimation of gas production.

Profit Maximizing Network Modeling With Inventory and Capacity Considerations

2018 ◽  
pp. 5503-5515
Author(s):  
Tan Miller ◽  
Renato de Matta
Keyword(s):  
Supply Chain ◽  
Network Modeling ◽  
Demand Management ◽  
Global Supply Chain ◽  
Optimization Models ◽  
Business Decisions ◽  
Supply Chain Networks ◽  
Strategic Trade ◽  
Trade Offs ◽  
Production Distribution

Developing integrated strategic, tactical and operational manufacturing and distribution plans for the global supply chain of a large, international firm represents a formidable planning, as well as organizational undertaking. Moreover, to develop and execute plans that are not only integrated, but which maximize profits on a global basis presents a challenge of far greater magnitude. The use of advanced optimization modeling based analytics can generate keen insights for management decisions regarding sourcing, production, distribution, inventory and demand management on supply chain networks. This includes scenario and contingency planning analyses of complex strategic trade-offs such as the optimal balance between inventory levels and reserve manufacturing capacity on a network. In this chapter, we illustrate how optimization models can support a firm's planning efforts for these and related supply chain business decisions.

Integrated Optimization of Oil and Gas Production

2011 ◽  
pp. 159-194
Author(s):  
Michael C. Georgiadis ◽  
Efstratios N. Pistikopoulos
Keyword(s):  
Oil And Gas ◽  
Gas Production ◽  
Oil And Gas Production ◽  
Integrated Optimization

Nonlinear Dynamics of a Spar Platform

2012 ◽  
Author(s):  
Elvidio Gavassoni ◽  
Paulo Batista Gonçalves ◽  
Deane M. Roehl
Keyword(s):  
Asymptotic Methods ◽  
Weather Conditions ◽  
Gas Production ◽  
Spar Platform ◽  
Highly Nonlinear ◽  
Oil And Natural Gas ◽  
The Stability ◽  
Floating Platforms ◽  
And Storage

Spar floating platforms have been largely used for deep water drilling, oil and natural gas production and storage of these fluids. In extreme weather conditions such structures may exhibit a highly nonlinear dynamic behavior. In this paper a 2-DOF model is used to study the heave and pitch coupled response in free and forced vibration. Special attention is given to the determination of the nonlinear vibration modes (NNMs). Non-similar and similar NNMs are obtained analytically by direct application of asymptotic methods and the results show important NNM features such as instability and multiplicity of modes. The NNMs are used to generate reduced order models that consist of 1-DOF nonlinear oscillators. It facilitates the parametric analysis and the derivation of important features of the system such as the frequency-amplitude relation associated to each nonlinear mode and resonance curves. The stability is analyzed by the Floquet theory. Bifurcation diagrams and Mathieu charts are used to identify the unstable regions in the force parameter space. The analytical results show good agreement with the numerical solution obtained by direct integration of the equation of motion.

Techno-economic analysis and optimization models for carbon capture and storage: a survey

2013 ◽  
Vol 4 (4) ◽  
pp. 315-353 ◽  
Author(s):  
Yuping Huang ◽  
Steffen Rebennack ◽  
Qipeng P. Zheng
Keyword(s):  
Economic Analysis ◽  
Carbon Capture ◽  
Carbon Capture And Storage ◽  
Optimization Models ◽  
And Storage

scholarly journals What to Expect from the 2020 Gas Package

2019 ◽  
Vol 7 (1) ◽  
pp. 165-169 ◽  
Author(s):  
Maria Olczak ◽  
Andris Piebalgs
Keyword(s):  
Climate Change ◽  
Greenhouse Gases ◽  
European Commission ◽  
Energy Supply ◽  
Fossil Fuels ◽  
Gas Production ◽  
Electricity Sector ◽  
Renewable Electricity ◽  
And Storage ◽  
The Eu

Gas is considered an important part of the European Union’s (EU) energy mix. Making up a quarter of the energy consumed in the EU, it is widely used by both households and industry. Gas supports the penetration of intermittent renewable electricity and is considered the cleanest of the fossil fuels but its combustion emits a considerable amount of greenhouse gases. In the fight against climate change, the EU has committed itself to the near-complete decarbonisation of the energy sector well before 2050. This will have a significant impact on the gas sector, especially in the EU, which has significant gas transportation and storage assets. This commentary examines two potential pathways that could enable the gas sector to contribute to the EU’s decarbonisation efforts while continuing to play a substantial role in the EU’s energy supply. The pathways include gas and electricity sector coupling and the substantial increase of renewable gas production. Those options, which are not mutually exclusive, provide an opportunity for the gas sector to thrive in a decarbonised energy future. In some cases, it could require changes in the EU’s gas legislation announced by the European Commission to be proposed in 2020.

COMMERCIAL AND TECHNICAL ISSUES FOR LARGE-SCALE CARBON CAPTURE AND STORAGE PROJECTS—A GIPPSLAND BASIN STUDY

2006 ◽  
Vol 46 (1) ◽  
pp. 435
Author(s):  
B. Hooper ◽  
B. Koppe ◽  
L. Murray
Keyword(s):  
Co2 Emissions ◽  
Brown Coal ◽  
Carbon Capture ◽  
Oil And Gas ◽  
Carbon Capture And Storage ◽  
Gas Production ◽  
Co2 Injection ◽  
Oil And Gas Production ◽  
Gippsland Basin ◽  
And Storage

The Latrobe Valley in Victoria’s Gippsland Basin is the location of one of Australia’s most important energy resources—extremely thick, shallow brown coal seams constituting total useable reserves of more than 50,000 million tonnes. Brown coal has a higher moisture content than black coal and generates more CO2 emissions per unit of useful energy when combusted. Consequently, while the Latrobe Valley’s power stations provide Australia’s lowest- cost bulk electricity, they are also responsible for over 60 million tonnes of CO2 emissions per year—over half of the Victorian total. In an increasingly carbon constrained world the ongoing development of the Latrobe Valley brown coal resource is likely to require a drastic reduction in the CO2 emissions from new coal use projects—and carbon capture and storage (CCS) has the potential to meet such deep cuts. The offshore Gippsland Basin, the site of major producing oil and gas fields, has the essential geological characteristics to provide a high-volume, low-cost site for CCS. The importance of this potential to assist the continuing use of the nation’s lowest-cost energy source prompted the Australian Government to fund the Latrobe Valley CO2 Storage Assessment (LVCSA).The LVCSA proposal was initiated by Monash Energy (formerly APEL, and now a 100% subsidiary of Anglo American)—the proponent of a major brown coal-to-liquids plant in the Latrobe Valley. Monash Energy’s plans for the 60,000 BBL per day plant include CCS to store about 13 million tonnes of CO2 per year. The LVCSA, undertaken for Monash Energy by the Cooperative Research Centre for Greenhouse Gas Technologies (CO2CRC), provides a medium to high-level technical and economic characterisation of the volume and cost potential for secure geosequestration of CO2 produced by the use of Latrobe Valley brown coal (Hooper et al, 2005a). The assessment’s scope includes consideration of the interaction between CO2 injection and oil and gas production, and its findings have been publicly released for use by CCS proponents, oil and gas producers and all other interested parties as an executive summary, (Hooper et al, 2005b), a fact sheet (Hooper et al, 2005c) and a presentation (Hooper et al, 2005d)).The LVCSA identifies the key issues and challenges for implementing CCS in the Latrobe Valley and provides a reference framework for the engagement of stakeholders. In effect the LVCSA constitutes a pre-feasibility study for the implementation of geosequestration in support of the continuing development of Victoria’s brown coal resources.The LVCSA findings indicate that the Gippsland Basin has sufficient capacity to safely and securely store large volumes of CO2 and may provide a viable means of substantially reducing greenhouse gas emissions from coal-fired power plants and other projects using brown coal in the Latrobe Valley. The assessment also indicates that CO2 injection could well be designed to avoid any adverse impact on adjacent oil and gas production, so that CO2 injection can begin near fields that have not yet come to the end of their productive lives. However, CCS proposals involving adjacent injection and production will require more detailed risk management strategies and continuing cooperation between prospective injectors and existing producers.

Sign in / Sign up

Export Citation Format

Share Document