Khurais Central Processing Facility Journey toward Excellence in Energy Efficiency

2016 ◽  
Author(s):  
Amro K. Al-Abbasi ◽  
Bader S. Al-Babtain
Keyword(s):  
Energy Efficiency ◽  
Central Processing ◽  
Processing Facility

scholarly journals A Techno-economic Evaluation of Adding Silica Nanoparticles to Enhance the Demulsification Process in a Crude Oil Central Processing Facility

2021 ◽  
Author(s):  
Shireen Hassan ◽  
Babiker Abdalla ◽  
Mustafa Mustafa
Keyword(s):  
Economic Evaluation ◽  
Crude Oil ◽  
Silica Nanoparticles ◽  
Production Cost ◽  
Net Present Value ◽  
Central Processing ◽  
Oil Processing ◽  
Software Model ◽  
Processing Facility ◽  
Demulsification Process

In this study, a techno-economic evaluation of the use of silica nanoparticles to enhance the demulsification process, in crude oil, has been investigated. A software model has been developed in MS Excel of the central processing facility (CPF). A sensitivity analysis of key parameters on production cost and Net Present Value (NPV) has been carried out for different flowsheet selection options. Comparison of flowsheets on an equal plant capacity basis results in a 19% reduction in the production cost whereas comparison on a fixed annual crude oil processing basis results in a reduction in production cost of only 3.7%.

Impact of the Finance Act 2020 on Gas Utilization Projects

2021 ◽  
Author(s):  
Kaase Gbakon
Keyword(s):  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Qualitative Assessment ◽  
Central Processing ◽  
Gas Processing ◽  
Gas Utilization ◽  
Processing Facility ◽  
Financing Costs ◽  
Investor Returns ◽  
The Impact

Abstract The newly passed Finance Act 2020 (FA2020) in Nigeria is reviewed especially as it relates to the oil and gas industry. The review is partly executed by modeling the specific provisions of the Act that impact gas utilization projects. The effect of the provisions on investor returns as well as the extent to which government objectives are met is ascertained – the government objectives being to prevent tax leakage via excessive financing costs, as well as encourage gas development and utilization. A qualitative assessment of the FA2020 is first conducted to examine its provisions applicable to the oil and gas sector. Furthermore, a spreadsheet Discounted Cash Flow (DCF) economic model of a gas central processing facility is built. A hypothetical $800Million (CapEx), 300mmscfd gas processing facility, which is 70% debt financed is modeled by incorporating the provisions of the FA2020. The metrics of the project (both investor and government) are then compared under the scenarios of with and without the FA2020. Key results indicate that the economic returns to investor in the gas processing facility are still largely preserved at a healthy level, even as government take improves by $102Million due to the FA2020. Specifically, without the FA2020, investor returns an IRR of 21.11% while due to the FA2020, investor IRR declines to 19.79%. Sensitivity analysis serves to illustrate one of the aims of the FA2020, which is to prevent tax loss from high cost of financing. Lengthening the tenor of loans reduces the fraction of the financing costs that is tax deductible. The modeling result shows that, ceteris paribus, for one (1) year increase in loan tenor, the amount of financing cost that is tax deductible reduces by 5%. Another important outcome is that for every $1 of government receipts preserved/enhanced by the FA, the investor NPV declines by 38cents This impact assessment of the FA2020 on gas utilization projects is conducted against the backdrop of several government pronouncements and policy positions to encourage domestic gas development. Financing plays an important role in delivering gas projects, consequently the evaluation of the impact of the FA2020 becomes imperative. This is to allow an examination of the effect of the Act on the ability to meet the strategic objective of powering the economy via gas while fulfilling Nigeria’s climate change commitments by deeper adoption of gas as a transition fuel.

Designing the world's largest semi-submersible central processing facility

2012 ◽  
Vol 52 (2) ◽  
pp. 685
Author(s):  
Claude Cahuzac
Keyword(s):  
Weather Conditions ◽  
Processing Unit ◽  
Gas Field ◽  
North West ◽  
Central Processing ◽  
Gas Processing ◽  
Design Considerations ◽  
Processing Facility ◽  
Production Wells ◽  
Sheer Size

What are the key design considerations driving the successful delivery of the world’s largest semi-submersible Central Processing Facility (CPF), to be installed at the Ichthys gas field in the Browse Basin, 200 km offshore North West Australia? Extreme cyclonic weather conditions, separating condensate from the gas stream, accommodating 150 personnel, and the sheer size of the gas processing unit at 110,000 tonnes, have created unprecedented challenges for the Ichthys design team. This extended abstract explores the design and planned construction of this massive piece of equipment. The CPF, measuring 110 m x 110 m, will be anchored to the seabed in about 250 m of water using 28 mooring chains. During the 40-year life of the project, the unit will collect gas from a network of up to 50 subsea production wells drilled into reservoirs 4,000–4,500 m beneath the seabed. From the CPF, condensate will be sent to a Floating Production Storage Offtake (FPSO) vessel moored nearby. The gas will be compressed and sent by an 885-km subsea pipeline to Darwin for processing into LNG, LPG and residual condensate. INPEX with its Ichthys joint venturer, Total, will be shipping 8.4 million tonnes of LNG and 1.6 million tonnes of LPG a year, as well as 100,000 barrels of condensate a day at peak. Successful delivery of the Ichthys Project will ensure INPEX achieves its goal of becoming the operator of a major LNG facility, while helping reach its target of producing 800,000 boe/d by 2020.

On the Optimal Energy Efficiency and Spectral Efficiency Trade-Off of CF Massive MIMO SWIPT System

2021 ◽  
Author(s):  
Na Li ◽  
Yuan Yuan Gao ◽  
Kui Xu
Keyword(s):  
Energy Efficiency ◽  
Energy Harvesting ◽  
Information Transmission ◽  
Spectral Efficiency ◽  
Performance Optimization ◽  
Processing Unit ◽  
Processing Scheme ◽  
Selection Scheme ◽  
Trade Off ◽  
Central Processing

Abstract This paper studies a cell-free (CF) massive multi-input multi-output (MIMO) simultaneous wireless information and power transmission (SWIPT) system and proposes a user-centric (UC) access point (AP) selection method and a trade-off performance optimization scheme for spectral efficiency and energy efficiency. In this system, users have both energy harvesting and information transmission functions, and according to the difference between energy harvesting and information transmission, a flexible AP selection scheme is designed. This paper analyses the trade-off between energy efficiency and spectral efficiency, proposes an evaluation index that takes into account both energy efficiency and spectral efficiency, and jointly optimizes the AP selection scheme and the uplink (UL) and downlink (DL) time switching ratio to maximize the trade-off performance. Then, the non-convex problem is converted to a geometric planning (GP) problem to solve. The simulation results show that by implementing a suitable AP selection scheme and UL and DL time allocation, the information processing scheme on the AP side has a slight loss in spectral efficiency, but the energy efficiency is close to the performance of global processing on the central processing unit (CPU).

Biofouling risk management for the importation of a floating production, storage and offloading (FPSO) facility and the central processing facility (CPF); the world's largest semi-submersible platform

2019 ◽  
Vol 59 (2) ◽  
pp. 596
Author(s):  
Nick Gust ◽  
Ashley Coutts ◽  
Patrick Lewis ◽  
Rene Tigges ◽  
Jake Prout ◽  
...  
Keyword(s):  
Marine Species ◽  
Risk Assessments ◽  
Central Processing ◽  
Antifouling Coating ◽  
Management Measures ◽  
Novel Approach ◽  
Water Cleaning ◽  
Processing Facility ◽  
Cleaning Methods ◽  
Species Specific

Two key facilities for the INPEX-operated Ichthys LNG project; the central processing facility (CPF) and floating production, storage and offloading (FPSO), were constructed in South Korean ports and towed to offshore Australian waters. To meet regulatory requirements for their importation, and mitigate potential invasive marine species (IMS) introduction, species-specific biofouling risk assessments were completed, and a series of management measures implemented. Risk assessments quantified the theoretical likelihood of the facilities introducing IMS via biofouling. The assessments considered (but were not limited to) the type of antifouling coating (AFC), time alongside, niche areas, and likelihood of IMS surviving in offshore waters at the Ichthys Field if translocated. The two facilities had different AFCs on their submerged hulls (CPF: biocidal, FPSO: non-biocidal). The theoretical risk of introducing IMS to Australian waters was considered ‘uncertain’, requiring completion of an extensive pre-mobilisation cleaning program in-water (CPF >600 dive hours and FPSO 2381 dive hours). The FPSO was cleaned twice due to a delay and recolonisation on the non-biocidal AFC. To determine the most efficient cleaning methods, various in-water cleaning technologies were trialled. Due to the size and complexity of the facilities, biofouling inspectors were deployed throughout the operation to increase confidence in the outcomes. After the arrival of the facilities at the Ichthys Field, dedicated underwater surveys were conducted to assess biofouling communities and collect specimens for molecular analysis, using a specially designed sampling tool. The associated outcomes demonstrated that the risk was acceptable and had been reduced to as low as reasonably practicable, validating the novel approach taken.

scholarly journals Joint Optimized CPU and Networking Control Scheme for Improved Energy Efficiency in Video Streaming on Mobile Devices

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Sung-Woong Jo ◽  
Jong-Moon Chung
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Mobile Devices ◽  
Video Streaming ◽  
Joint Optimization ◽  
Battery Life ◽  
Processing Unit ◽  
Central Processing ◽  
Control Scheme ◽  
Streaming Service

Video streaming service is one of the most popular applications for mobile users. However, mobile video streaming services consume a lot of energy, resulting in a reduced battery life. This is a critical problem that results in a degraded user’s quality of experience (QoE). Therefore, in this paper, a joint optimization scheme that controls both the central processing unit (CPU) and wireless networking of the video streaming process for improved energy efficiency on mobile devices is proposed. For this purpose, the energy consumption of the network interface and CPU is analyzed, and based on the energy consumption profile a joint optimization problem is formulated to maximize the energy efficiency of the mobile device. The proposed algorithm adaptively adjusts the number of chunks to be downloaded and decoded in each packet. Simulation results show that the proposed algorithm can effectively improve the energy efficiency when compared with the existing algorithms.

scholarly journals Energy Efficiency of Machine Learning in Embedded Systems Using Neuromorphic Hardware

Electronics ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. 1069
Author(s):  
Minseon Kang ◽  
Yongseok Lee ◽  
Moonju Park
Keyword(s):  
Machine Learning ◽  
Energy Efficiency ◽  
Embedded Systems ◽  
Embedded System ◽  
Detection System ◽  
Processing Unit ◽  
Process Data ◽  
Central Processing ◽  
Neuromorphic Hardware ◽  
Multicore Cpu

Recently, the application of machine learning on embedded systems has drawn interest in both the research community and industry because embedded systems located at the edge can produce a faster response and reduce network load. However, software implementation of neural networks on Central Processing Units (CPUs) is considered infeasible in embedded systems due to limited power supply. To accelerate AI processing, the many-core Graphics Processing Unit (GPU) has been a preferred device to the CPU. However, its energy efficiency is not still considered to be good enough for embedded systems. Among other approaches for machine learning on embedded systems, neuromorphic processing chips are expected to be less power-consuming and overcome the memory bottleneck. In this work, we implemented a pedestrian image detection system on an embedded device using a commercially available neuromorphic chip, NM500, which is based on NeuroMem technology. The NM500 processing time and the power consumption were measured as the number of chips was increased from one to seven, and they were compared to those of a multicore CPU system and a GPU-accelerated embedded system. The results show that NM500 is more efficient in terms of energy required to process data for both learning and classification than the GPU-accelerated system or the multicore CPU system. Additionally, limits and possible improvement of the current NM500 are identified based on the experimental results.

Modernization of gas separators for central processing facility

2020 ◽  
Author(s):  
A. A. Buzlukov ◽  
L. V. Taranova ◽  
A. M. Glazunov
Keyword(s):  
Central Processing ◽  
Processing Facility
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