A Novel Approach to Maximize Revenue by Maximizing the Condensate Production in A Giant Field Using Molar Fraction Optimization in an Integrated Production System Platform


Authors

Ayesha Ahmed Abdulla Salem Alsaeedi (Adnoc Onshore) | Fahed Ahmed AlHarethi (Adnoc Onshore) | Shemaisa Ahmed Abdalla Mohamad Alsenaidi (Adnoc Onshore) | Ahmed Mohamed Al Bairaq (Adnoc Onshore) | Sandeep Soni (Weatherford International) | Deepak Tripathi (Weatherford International) | Melvin Hidalgo (Weatherford International) | Hamda Alkuwaiti (Weatherford International)

Publisher

SPE - Society of Petroleum Engineers

Publication Date

November 9, 2020

Source

Abu Dhabi International Petroleum Exhibition & Conference, 9-12 November, Abu Dhabi, UAE

Paper ID

SPE-202833-MS


Abstract

Meeting the gas production target while maximizing the total gas condensate and hence the revenue from condensate reservoirs is one of the key business drivers for an operating company. This paper describes a comprehensive simulation process to strategize production optimization, which helps in meeting the target molar fraction at the delivery point from the overall asset producing from complex reservoirs with varying fluid properties and achieving the overall target of lean gas production.

This process uses an integrated approach encompassing the various nodes in a production system, starting from reservoir to the export system to assure a representative and accurate prediction. In the first step, using the representative fluid model and the desired target production from the field, the well capacity-based rates are allocated to the individual production strings. In the second step, a component level optimizer is used to estimate the contribution of each well based on the well production stream composition. In the third and final step, this contributed production figure is fed back to the surface network hydraulic simulator to assess the back-pressure impact on the overall production and the achievable field-target.

The objective of maximizing the condensate production was fulfilled considering the provided constraints of operating guidelines, reservoir, wells, and surface facility capacities. Two different scenario runs were put together where the target gas production was achieved while increasing the condensate production by maximizing the condensate specific molar components and minimizing the heavy molar components. The expected condensate production was forecasted to increase by 5% in the scenario.

As the predictive hydraulic model is seamlessly integrated with the true field operating conditions, the outlined optimization process ensured that various business-scenarios accurately forecast the system behavior under various operating conditions. In the scenario, the forecast was able to maximize the condensate while meeting the production target within 1% tolerance limit.

The outlined approach provides a clear step by step standardized process approach which can be expanded to cater to the other business needs, such as minimizing the H2S for reducing the corrosion problem, minimizing the C7+ components to produce a high-quality condensate.

Such a framework based standardized methodology incorporates a seamless integration between the molar composition optimization and the associated hydraulic calculations-based optimization. Solving the both objective optimization functions simultaneously, this approach provides a novel way to address a vital industry business objective.