Title: Simulation of SAGD for the greenfield development plan using AI-based parameter optimisations

Authors: Vrutang M. Shah; Jainish Shinghala; Vivek Ramalingam

Addresses: School of Energy Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat-382426, India ' School of Energy Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat-382426, India ' School of Energy Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat-382426, India

Abstract: Steam assisted gravity drainage is a widely used technique; however, the high operating costs and water usage associated with this technique necessitate a thorough investigation and optimisation of sensitive parameters. The focus of this study is to develop and optimise the steam assisted gravity drainage process for developing a new field. The traditional steam assisted gravity drainage process is simulated alongside a mature strategy for a period of 16 years. The mature strategy employed in this study includes pressure tapering and the injection of non-condensable gas. The simulation results demonstrate that the non-condensable gas injection strategy is more economically effective than the traditional steam assisted gravity drainage process in the mature stage. Additionally, parametric optimisation studies performed on operating pressure, injection temperature, and steam quality to maximise the net present value of the block; indicate an increase in net present value from 20 million dollars to 30 million dollars, highlighting the significance of this optimisation study. [Received: January 31, 2023; Accepted: June 11, 2023]

Keywords: steam-assisted gravity drainage; greenfield development plan; AI-based parameter optimisations; techno-economical evaluation; thermal enhanced oil recovery.

DOI: 10.1504/IJOGCT.2023.134566

International Journal of Oil, Gas and Coal Technology, 2023 Vol.34 No.3, pp.248 - 269

Received: 30 Jan 2023
Accepted: 11 Jun 2023
Published online: 27 Oct 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article