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Commingling in pipesim skin#
Optimize the completion design by considering skin effects on horizontal well length and tubing or casing size.Optimize production through intelligent completions by modeling downhole flow control valves or other downhole equipment, such as chokes, subsurface safety valves, separators, and chemical injectors.Design artificial lift systems (e.g., rod pumps, progressing cavity pumps, ESPs, and gas lift) and compare their relative benefits.Perform nodal analysis and diagnose liquid loading or lift requirements.Design and optimize pipelines and equipment such as pumps, compressors, and multiphase boosters to maximize production and capital investment.Size separation equipment and slug catchers to manage liquids associated with pigging, ramp-up surges, and hydrodynamic slugging volumes.Examine system-design layout options and operating parameters for a range of inputs.Size pumps, compressors, and multiphase boosters to meet target rates.Size pipelines to minimize backpressure while maintaining stable flow within the maximum allowable operating pressure (MAOP).The allocated reservoir PI and WC allow engineers to strategize reservoir management plans specific to each producing reservoir layers, thus, improving the mechanism for reservoir surveillance.Typical flow assurance applications: Pipeline and facility sizing Once the PI and WC of each layer are known, FCV flow area settings can be configured to yield the optimal oil production.įrom the pilot on one well, the optimizer successfully helped engineers to increase oil production from 300 to 430 bbl/d in two months, while maintaining a steady yet maintainable WC increase of 11%, without any intervention costs or deferment. The inbuilt algorithm in MSPS will allocate PI and WC to match simulated data calculated by a well model, to actual data from the field instruments with the lowest error possible.
Commingling in pipesim software#
This is built using data from downhole gauges, well modelling software and a multisoftware platform simulator (MSPS). This project aims to build an optimizer to allocate reservoir parameters PI and WC in commingled intelligent wells and determine the most optimal setting for the FCV flow areas which will maximize oil production. In offshore fields, the delay to production in order to make way for data acquisition is undesirable due to logistical difficulties. The current process of allocation using production logging is less efficient while layer-by- layer testing will cause deferments to a well's production. However, further analysis is required to identify zonal productivity index (PI) and water cut (WC) of each reservoir layer, before engineers can decide and manipulate the FCV flow area configuration of each reservoir flowing in a commingled setting. This paper presents the development of a method to provide decision support in the feasibility studies and concept planning phases of oil and gas field development. These intelligent wells provide valuable data for reservoir surveillance, and operators can control drawdown pressure to reduce water influx from high water production reservoirs. With the advent of reservoir control technologies, oil production wells are now fitted with downhole pressure and temperature gauges and downhole flow control valves (FCV). Operators have a high expenditure in both opex and capex to delay the influx of water production, which is reducing both field life and economic value. Overproduction of water is an inevitable risk in most mature oil fields.