Holistic Network Modelling for Debottlenecking of a Highly Integrated and Complex System for Optimizing Hydrocarbon Evacuation

2021 ◽  
Author(s):  
Frankie Kia Tan ◽  
Sukrut Shridhar Kulkarni

Abstract This paper deals with debottlenecking approach of complex and integrated system through means of Holistic Modeling for optimizing hydrocarbon evacuation. As prudent operator for the complex network, it is crucial to pursue strategic ideas and innovative concepts to optimize supply demand balance, fulfill contractual obligations to optimize resources to maximize value creation, whilst protecting investment decisions for monetization of the new field development. It therefore necessitates to prioritize system reliability and de-bottlenecking initiatives to implement successful business plans with appropriate timely reconfiguration at various intensities of the network. It is consequently essential to decipher the pain points by performing root cause analysis and troubleshooting to achieve optimal fit for purpose solution by gaining better understanding of network characteristic, supply distribution & operating topology. Paper focus on a bold step change that was commenced to develop an end-to-end Holistic Network Model from well head (fields) to product delivery to scrutinize the network and propose suitable alleviation by appraising the debottleneck requirement at offshore riser collection manifold which serves as integrated facility for multiple hubs and fields. Model was validated with plant information and deployed to yield robust & realistic results. Multiple sensitivity scenarios were accomplished to analyze current riser manifold configuration limitation checks for tie-back of new field such as ullage opportunity, pressure variations, hydraulic fluxes, potential choking of low-pressure wells/fields and prospective blending specifications violations etc. Obstacles across affected manifold could be estimated and its reconfiguration was planned by means of variations in operating philosophy, alterations in the manifold assembly with appropriate manifold debottlenecking recommendation. Analytics of Integrated Network modelling could qualify not only technical obligations but also empower representative economic evaluation for debottlenecking by appending precise requirement in terms of manifold reconfiguration, backed up by appraised data from network model. Model output also assisted to gauze the potential for enhancing network capacity by implementing appropriate reforms to optimize evacuation for new field line ups. Integrated network model developed with an aid of basic network elements can be subjected to estimate vital features for comprehensive network such as pressure and flow across the various nodes in the system. Methodology describes how by developing an integrated network model that summarize the granularity of a highly complex offshore gas network has facilitated to strategize the manifold reconfiguration and appraise debottleneck requirement besides proposing appropriate mitigation. With integrated network modeled on a single platform allows a uniform data transfer from various elements such as fields, facilities, pipelines, gas highways and terminals into the model which assist for network optimization. The situational analysis via modeling could enable the elimination of new dedicated infrastructure for field evacuation leading to CAPEX optimization there by facilitating its optimal monetization. It reveals extensive usage of model with physical boundaries steering decision for project implementation.

2021 ◽  
Author(s):  
Zalina Ali ◽  
Astriyana Anuar ◽  
Nicolas Grippo ◽  
Nurshahrily Emalin Ramli ◽  
Najmi Rahim

Abstract Aging facilities and increasing complexity in operations (e.g., increasing water cut, slugging, sand or wax production) continue to widen the gap between actual production and the full potential of the field. To enable production optimization scenarios within an integrated system comprises of reservoirs, wells and surface facilities, the application of an integrated network modelling has been applied. The highlight of this paper is the synergy of Integrated Production Network Modelling (IPNM) utilizing Steady State Simulator (PROSPER-GAP) and the Transient Simulator (OLGA) tools to identify potential quick gains through gaslift optimization as well as mid and long-term system optimization alternatives. The synergy enables significant reduction in transient simulation time and reduced challenges in OLGA well matching, especially in selecting accurate modelling parameters e.g., well inflow performance (validated well (string) production data, reservoir pressure, temperature and fluid properties and the Absolute Open Flow (AOF) of each well). The paper showcased the successful production gain achieved as well as the workflows and methodologies applied for both Steady State Integrated Production Modelling (IPM Steady State) and Integrated Transient Network Modelling (IPM Transient) as tools for production enhancement. Even though IPM Steady State shows promising results in term of field optimization potential, to increase accuracy and reduce uncertainties, IPM Transient is recommended to be performed to mimic the actual transient phenomena happening in the well to facilities


2021 ◽  
Author(s):  
Sukrut Shridhar Kulkarni ◽  
Marliana Bt Mohammad ◽  
Sharifah Nooraini Bt Syed Tahir ◽  
Frankie Kia Yong Tan ◽  
Masnizah Bt Supu

Abstract This paper establishes the approach to strategize the appropriate sequencing and monetization of the green field development through performing situational analysis for the complex offshore facilities to recognize new hydrocarbon molecules. As prudent operator for the complex network its crucial to pursue strategic ideas and innovative concepts to optimize supply demand balance, fulfill contractual obligations to optimize resources to maximize value creation, whilst protecting investment decisions for hydrocarbon monetization for the green field development. It is therefore necessary to implement successful business plans with appropriate sequencing of new fields by robust assessment to decipher the pain points to achieve optimal solution by gaining better understanding of network characteristic, supply distribution and operating envelope for line ups of new green field development. Situational Analysis for the complex offshore system is defined as robust investigation of the surrounding facts/realities to scrutinize the unique features in terms of capabilities, risks, uncertainty, opportunity, and exposures. The approach followed in the paper is the creation of mathematical model for the network/infrastructure embedded with business rules and deployment for evaluation and optimization. This approach is to timely deliver the management decisions for developing sequencing strategy, establishing priority of supply guidelines and allocation principles. This paper describes that a state of art approach which was followed by developing end to end network model by simulation engineers with close collaboration with strategic planning, portfolio optimization and including operations in single platform. The simulation model was further validated and deployed to analyze current network impediments in terms of technical and commercial allocation principles. The modelling approach was kept straightforward and scalable to allow for the future development if any. Analytics of the modelling could assist in gauging the potentials for enhancing system capacity by implementing appropriate reforms to optimize evacuation strategies. Obstacles across system architecture could be estimated and its reconfiguration was planned by means of variations in operating philosophy, alterations in the network assembly with appropriate debottlenecking recommendation. The allocation principles applied during business plans consider the commercial element on initial basis, before instead the physical and technical constraints were evaluated. The results of the allocation were then simulated and reallocated back to relevant demand center with relevant technical constraints of the network. This enabled team to identify the gap for supply/demand and propose solution to address the gap at an enterprise level to be substantial, to build a case whereby monetization of green fields will be necessary. Above methodology describes how by developing an end to end mathematical model that summarizes the microscopic details of a complex offshore system to facilitate on the way to analyze and strategize new field development line-ups. The novelty is with the simulation model built in a single platform, allows a seamless data transfer from various elements such as fields, facilities, pipelines, and terminal and is one stop solution for accessing impediments across architecture The above approach elaborates on result matter approach that steer and advocate on the situational analysis for new field sequencing by ascertaining CAPEX /OPEX optimization that could steer decision of lining up of four new fields within span of two years at appropriate intensity of the network with optimal monetization.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hwang-Yeol Lee ◽  
Yeonsu Jeon ◽  
Yeon Kyung Kim ◽  
Jae Young Jang ◽  
Yun Sung Cho ◽  
...  

AbstractAging is associated with widespread physiological changes, including skeletal muscle weakening, neuron system degeneration, hair loss, and skin wrinkling. Previous studies have identified numerous molecular biomarkers involved in these changes, but their regulatory mechanisms and functional repercussions remain elusive. In this study, we conducted next-generation sequencing of DNA methylation and RNA sequencing of blood samples from 51 healthy adults between 20 and 74 years of age and identified aging-related epigenetic and transcriptomic biomarkers. We also identified candidate molecular targets that can reversely regulate the transcriptomic biomarkers of aging by reconstructing a gene regulatory network model and performing signal flow analysis. For validation, we screened public experimental data including gene expression profiles in response to thousands of chemical perturbagens. Despite insufficient data on the binding targets of perturbagens and their modes of action, curcumin, which reversely regulated the biomarkers in the experimental dataset, was found to bind and inhibit JUN, which was identified as a candidate target via signal flow analysis. Collectively, our results demonstrate the utility of a network model for integrative analysis of omics data, which can help elucidate inter-omics regulatory mechanisms and develop therapeutic strategies against aging.


Author(s):  
Andrea Cremasco ◽  
Wei Wu ◽  
Andreas Blaszczyk ◽  
Bogdan Cranganu-Cretu

Purpose The application of dry-type transformers is growing in the market because the technology is non-flammable, safer and environmentally friendly. However, the unit dimensions are normally larger and material costs become higher, as no oil is present for dielectric insulation or cooling. At designing stage, a transformer thermal model used for predicting temperature rise is fundamental and the modelling of cooling system is particularly important. This paper aims to describe a thermal model used to compute dry transformers with different cooling system configurations. Design/methodology/approach The paper introduces a fast-calculating thermal and pressure network model for dry-transformer cooling systems, preliminarily verified by analytical methods and advanced CFD simulations, and finally validated with experimental results. Findings This paper provides an overview of the network model of dry-transformer cooling system, describing its topology and its main variants including natural or forced ventilation, with or without cooling duct in the core, enclosure with roof and floor ventilation openings and air barriers. Finally, it presents a formulation for the new heat exchanger element. Originality/value The network approach presented in this paper allows to model efficiently the cooling system of dry-type transformers. This model is based on physical principles rather than empirical assessments that are valid only for specific transformer technologies. In comparison with CFD simulation approach, the network model runs much faster and the accuracies still fall in acceptable range; therefore, one is able to utilize this method in optimization procedures included in transformer design systems.


with carrying out the decentralization reform public administration mechanisms play an important role in ensuring the comprehensive development of rural areas. Expanding the use of such mechanisms in the sphere of cooperation on the state level will facilitate development and support of small entrepreneurial forms, common use of material and technical basis, emerging new working places, building social infrastructure and engineering communications, providing qualitative services to citizens and preserving rural settlements. The objective of the article is to identify constituents of the comprehensive mechanism of public administration for development of service cooperation of rural areas in Ukraine and to integrate them into a coherent system which would facilitate realization of the state strategies and programmes to achieve the Sustainable Development Goals. The object of the research is a comprehensive mechanism of public administration for development of service cooperation. Research methodology is grounded upon the use of general scientific knowledge methods, in particular, logical and semantic, induction and deduction for formulating definitions, systemic and situational analysis for characterizing constituents of a comprehensive mechanism and identifying their interrelations. Based on the systemic approach it has been defined that comprehensive mechanism is an integrated system which combines interrelated and dependable functioning of legislative, institutional, organisational and economic, financial and credit, information and communication as well as staffing mechanisms in the sphere of developing cooperative movement in the rural localities. It is proved that every mechanism influences its particular direction and is formed at the international, national, regional and local levels based on cooperative values and generalized system of principles. Special attention is paid to the research of international and national legislation to generalize the system of principles of cooperation, intermunicipal cooperation, public authorities and public associations’ functioning, upon which the comprehensive mechanism for public administration of service cooperation development in rural areas of Ukraine is based.


2021 ◽  
Author(s):  
Tomáš Princ ◽  
Michal Snehota

<p>The research focused on the simulation of the previous experiment described by Princ et al. (2020). The relationship between entrapped air content (<em>ω</em>) and the corresponding satiated hydraulic conductivity (<em>K</em>) was investigated for two coarse sands, in the experiment. Additionally the amount and distribution of air bubbles were quantified by X-ray computed tomography.</p><p>The pore-network model based on OpenPNM platform (Gostick et al. 2016) was used to attempt simulation of a redistribution of the air bubbles after infiltration. Satiated hydraulic conductivity was determined to obtain the <em>K</em>(<em>ω</em>) relationship. The results from pore-network model were compared with the results from experiments.</p><p>Gostick et al. (2016). Computing in Science & Engineering. 18(4), p60-74.</p><p>Princ et al. (2020). Water. 12(2), p1-19.</p>


2010 ◽  
Vol 17 (6) ◽  
pp. 809-815 ◽  
Author(s):  
A. Pasini ◽  
R. Langone ◽  
F. Maimone ◽  
V. Pelino

Abstract. In the framework of a unified formalism for Kolmogorov-Lorenz systems, predictions of times of regime transitions in the classical Lorenz model can be successfully achieved by considering orbits characterised by energy or Casimir maxima. However, little uncertainties in the starting energy usually lead to high uncertainties in the return energy, so precluding the chance of accurate multi-step forecasts. In this paper, the problem of obtaining good forecasts of maximum return energy is faced by means of a neural network model. The results of its application show promising results.


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