Dynamic risk modeling of complex hydrocarbon production systems

2021 ◽  
Author(s):  
Abbas Mamudu ◽  
Faisal Khan ◽  
Sohrab Zendehboudi ◽  
Sunday Adedigba
Keyword(s):  
Production Systems ◽  
Risk Modeling ◽  
Hydrocarbon Production ◽  
Dynamic Risk

Subsea Chemical Storage and Injection- Qualification of HAMPRO 70V Pump

2021 ◽  
Author(s):  
Brede Andre Thorkildsen ◽  
Lachlan James McKenzie ◽  
Stein Følkner ◽  
Francois-Xavier Pasquet ◽  
Pierre-Jean Bibet
Keyword(s):  
Production Systems ◽  
High Reliability ◽  
Compensation System ◽  
Hydrocarbon Production ◽  
Transient Behaviour ◽  
Injection Pump ◽  
Pressure Compensation ◽  
Electrical Components ◽  
The Impact ◽  
Lubricant Performance

Abstract The development of Subsea Chemical Storage & Injection (SCS&I) technology is a continuation of the trend to move more of the hydrocarbon production systems subsea. This is driven by a need to make exploitation of remote resources profitable; unlock single-line long tie-backs and subsea to shore architectures, and to enable tie-ins with otherwise constrained topside infrastructure. The SCS&I System is also a significant contributor to the development of "All-Electric" subsea architecture where the umbilical is reduced to a power and communication cable only. TechnipFMC https://www.technipfmc.com/ and Total https://www.total.com/en are collaborating to develop and qualify the SCS&I technology components and system. In order to make the SCS&I technology competitive and field developments profitable, the reliability of the equipment is paramount. The HAMPRO 70V injection pump is one key component in the system for which high reliability must be ensured. The objective of the qualification program is to confirm the adequate performance of the HAMPRO 70V pump in the following areas: The reliability of the chemically exposed parts and the impact of chemical fluid cleanliness The reliability of the pump and motor rotating parts and the impact of lubricant performance The reliability of the electrical components The impact of transient behaviour on the pressure compensation system, rotating parts and electrical components Due to the similarity of design, smaller versions of the HAMPRO pump will also be qualified by the activities in the program.

Laser profiling for subsea hydrocarbon production systems

2010 ◽  
Author(s):  
Alan Graham ◽  
Daniel McStay ◽  
Ala Al-Obaidi ◽  
Anthony Jakas
Keyword(s):  
Production Systems ◽  
Hydrocarbon Production ◽  
Laser Profiling

scholarly journals Decision making by using a computer algorithm to analyze hydrocarbon production systems

2016 ◽  
pp. 75-83
Author(s):  
Robinson Stevens Salazar-Rúa ◽  
Johan Darío Caicedo-Reyes ◽  
Jovani Alberto Jiménez-Builes
Keyword(s):  
Pressure Drop ◽  
Production System ◽  
Production Systems ◽  
Initial Pressure ◽  
Production Costs ◽  
Hydrocarbon Production ◽  
Nodal Analysis ◽  
Pressure Drops ◽  
Flow Through ◽  
Oil Company

This paper shows an algorithm that allows to automate the procedures of nodal analysis and flow optimization in a hydrocarbon production system. The procedure of nodal analysis is highly useful in flow wells, intermittent wells or in wells with artificial production systems. The nodal analysis evaluates a production system divided into two basic components: flow through vertical piping or production piping, and flow through horizontal piping or discharge line. For the prediction of each component's behavior, the pressure drop in each component is obtained. In order to obtain the pressure drops, nodes in different important points within the production system must be assigned; therefore, production expenses can vary and, by using a suitable calculation method, the pressure drop between two nodes is calculated. Then, a node is selected and the pressure drops are added to or subtracted from the initial pressure point or departure node, until obtaining the solution node. The results obtained when using the algorithm have allowed to update both procedures, obtaining advantages such as improvement in response time, among others. This analysis is a crucial point when making decisions related to production costs in any oil company.

scholarly journals Extended multilevel flow model-based dynamic risk assessment for cybersecurity protection in industrial production systems

2018 ◽  
Vol 14 (6) ◽  
pp. 155014771877956
Author(s):  
Qianxiang Zhu ◽  
Yuanqing Qin ◽  
Chunjie Zhou ◽  
Weiwei Gao
Keyword(s):  
Risk Assessment ◽  
Production Process ◽  
Industrial Production ◽  
Flow Model ◽  
Production Systems ◽  
Physical Space ◽  
Cyber Attack ◽  
Dynamic Risk ◽  
Model Based ◽  
Dynamic Risk Assessment

Cybersecurity protection becomes an essential requirement for industrial production systems, while industrial production systems are moving from isolation to interconnection with the development of information and communication technology. Dynamic risk assessment plays an important role in cybersecurity protection, providing the real-time security situation to the industrial production systems managers. Currently, few researches in this domain focus on the physical process of industrial production systems, let alone considering the combination of attack propagation in cyber space and the abnormal events happening in physical space for risk assessment. In this article, an extended multilevel flow model-based dynamic risk assessment approach for industrial production systems is proposed, where the extended multilevel flow model models the production process graphically and describes the relationships among devices, functions, and flows quantitatively. Based on the extended multilevel flow model of industrial production systems, a Bayesian network is built to analyze the attack propagation over time, and the consequences of cyber attack in production process are assessed quantitatively. Some simulations on a chemical process system are carried out to verify the effectiveness of the proposed approach. The results demonstrate that this approach can assess the dynamic cybersecurity risk of industrial production systems in a quantitative way.

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