Unifying of Steady State and Transient Simulations Methodologies for Increasing Oil Production of Integrated Network of Wells, Pipeline and Topside Processing Equipment

2021 ◽  
Author(s):  
Zalina Ali ◽  
Astriyana Anuar ◽  
Nicolas Grippo ◽  
Nurshahrily Emalin Ramli ◽  
Najmi Rahim
Keyword(s):  
Steady State ◽  
System Optimization ◽  
Integrated System ◽  
Production Optimization ◽  
Full Potential ◽  
Production Network ◽  
Network Modelling ◽  
Integrated Network ◽  
Transient Phenomena ◽  
Integrated Production

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

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
Keyword(s):  
Network Model ◽  
Data Transfer ◽  
Network Capacity ◽  
Integrated System ◽  
Situational Analysis ◽  
Network Modelling ◽  
Integrated Network ◽  
Field Development ◽  
Gas Network ◽  
Integrated Facility

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.

Front-End Integrated Production System Modelling for Production Optimization – Experience from a Niger Delta Field

2021 ◽  
Author(s):  
Felix Okoro ◽  
Elias Arochukwu ◽  
Segun Adomokhai ◽  
Linda Dennar
Keyword(s):  
Production System ◽  
Flow Line ◽  
Integrated System ◽  
Production Optimization ◽  
System Modelling ◽  
Total Production ◽  
Integrated Production ◽  
Head Pressure ◽  
Line Pressure ◽  
Year 2000

Abstract The M001 project involved the hook-up of 12 wells (17 conduits) which were drilled and completed between year 2000 and 2005 but were closed-in for operational reasons, until year 2019 when the first seven (7) conduits on cluster MX1 were cleaned up successfully. The seven conduits (Well-A, Well-B, Well-C, Well-D, Well-E, Well-F & Well-G) were expected to flow via three 8" bulk lines. Post well open-up and handover to production, significant bulking / backing out effects were observed. An average Flow Line Pressure (FLP) of ∼22 bar was recorded on the flowlines, hence limiting the capacity to bulk the wells, [FLP increases towards Flowing Tubing Head Pressure (FTHP) hence, pushing the well out of the critical flow envelope as FTHP<<1.7FLP]. Due to this challenge, total production from Cluster MX1 was sub-optimal with only five (5) conduits out of seven (7) able to flow due to bulking and backing out effect. The sub-optimal performance from the conduits were investigated using the Integrated Production System Model (IPSM) / PIPESIM models. Four different scenarios were run in the model and the calibrated IPSM model indicated all 7 conduits should flow if there are no surface restrictions. The model identified pressure, mass and rate imbalances in the integrated system and suggested the presence of a restriction at the manifold, causing sub-optimal production from the wells. The model outcome triggered an onsite investigation / troubleshooting from the wellhead to the manifold at the facilities end where an adjustable choke was identified in the ligaments of the manifold. In line with process safety requirements, a risk assessment was carried out and a Management of Change (MOC) raised to remove the adjustable choke at the manifold. Post implementation of the intervention, all the seven (7) conduits produced without any bulking effect. Total production realized from the seven (7) conduits post execution of the recommended action is ca. 9.3 kbopd against 5.2 kbopd pre-intervention. A total of ca. 4.1 kbopd production gain was realized and 10 mln USD proposed for additional bulkline was saved.

Optimum Selection of Hydraulic Devices for Water Hammer Control in the Pipeline Systems Using Genetic Algorithm

2003 ◽  
Author(s):  
Bong Seong Jung ◽  
Bryan W. Karney
Keyword(s):  
Genetic Algorithm ◽  
Steady State ◽  
Optimization Problems ◽  
System Optimization ◽  
Water Hammer ◽  
Pipeline System ◽  
Optimal Size ◽  
Protection Strategy ◽  
Hydraulic Devices ◽  
Selection Of

Genetic algorithms have been used to solve many water distribution system optimization problems, but have generally been limited to steady state or quasi-steady state optimization. However, transient events within pipe system are inevitable and the effect of water hammer should not be overlooked. The purpose of this paper is to optimize the selection, sizing and placement of hydraulic devices in a pipeline system considering its transient response. A global optimal solution using genetic algorithm suggests optimal size, location and number of hydraulic devices to cope with water hammer. This study shows that the integration of a genetic algorithm code with a transient simulator can improve both the design and the response of a pipe network. This study also shows that the selection of optimum protection strategy is an integrated problem, involving consideration of loading condition, device and system characteristics, and protection strategy. Simpler transient control systems are often found to outperform more complex ones.

Integrated Production Model as a Tool for Optimization the Development Strategy of the Sakhalin Oil and Gas Condensate Field

2021 ◽  
Author(s):  
Oleksandr Doroshenko ◽  
Miljenko Cimic ◽  
Nicholas Singh ◽  
Yevhen Machuzhak
Keyword(s):  
History Matching ◽  
Effective Field ◽  
Production Optimization ◽  
Production Model ◽  
Production Forecast ◽  
Hydrocarbon Production ◽  
Integrated Production ◽  
Wellhead Pressure ◽  
Field Development ◽  
The Impact

Abstract A fully integrated production model (IPM) has been implemented in the Sakhalin field to optimize hydrocarbons production and carried out effective field development. To achieve our goal in optimizing production, a strategy has been accurately executed to align the surface facilities upgrade with the production forecast. The main challenges to achieving the goal, that we have faced were:All facilities were designed for early production stage in late 1980's, and as the asset outdated the pipeline sizes, routing and compression strategies needs review.Detecting, predicting and reducing liquid loading is required so that the operator can proactively control the hydrocarbon production process.No integrated asset model exists to date. The most significant engineering tasks were solved by creating models of reservoirs, wells and surface network facility, and after history matching and connecting all the elements of the model into a single environment, it has been used for the different production forecast scenarios, taking into account the impact of infrastructure bottlenecks on production of each well. This paper describes in detail methodology applied to calculate optimal well control, wellhead pressure, pressure at the inlet of the booster compressor, as well as for improving surface flowlines capacity. Using the model, we determined the compressor capacity required for the next more than ten years and assessed the impact of pipeline upgrades on oil gas and condensate production. Using optimization algorithms, a realistic scenario was set and used as a basis for maximizing hydrocarbon production. Integrated production model (IPM) and production optimization provided to us several development scenarios to achieve target production at the lowest cost by eliminating infrastructure constraints.

scholarly journals Branching features of apple cultivars in integrated and organic production technology

2018 ◽  
Vol 24 (3-4) ◽  
Author(s):  
P. Dremák ◽  
Á. Csihon ◽  
I. Gonda
Keyword(s):  
Organic Farming ◽  
Production Technology ◽  
Production System ◽  
Production Systems ◽  
Environmentally Friendly ◽  
Organic Production ◽  
Integrated System ◽  
Integrated Production ◽  
Apple Cultivars ◽  
Environmentally Friendly Production

In our study, vegetative characteristics of 39 apple cultivars were evaluated in environmentally friendly production systems. Numbers of the branches of the central leader in different high zones were shown. According to our results, number of the branches of the axis was probably larger in the integrated production system, compared to the organic one, which is related to the conditional status of the trees. Based on our experiences training and maintaining canopies in integrated system was easier, as relative more extensive canopies were needed in organic farming.

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