Life cycle water-demand coefficients for conventional oil production from five North American locations

• Main Authors: Ali, Babkir, Kumar, Amit
• Format: Other/Unknown Material
• Language: English
• Published: 2017
• Subjects: Extraction; Water Consumption; Refining; Life Cycle Water Footprint; Water-Energy Nexus; Crude Oil; Canada; Alaska North Slope; north slope; Alaska
• Online Access: https://era.library.ualberta.ca/items/14f75489-f53a-4fdb-8766-060f8c403fa3; https://doi.org/10.7939/r3-3rbm-9054

The production of liquid fuels from crude oil requires water. There has been limited focus on the assessment of life cycle water demand footprints for crude oil production and refining. The overall aim of this paper is address this gap. The objective of this research is to develop water demand coefficients over the life cycle of fuels produced from crude oil pathways. Five crude oil fields were selected in the three North American countries to reflect the impact of different spatial locations and technologies on water demand. These include the Alaska North Slope, California’s Kern County heavy oil, and Mars in the U.S.; Maya in Mexico; and Bow River heavy oil in Alberta, Canada. A boundary for an assessment of the life cycle water footprint was set to cover the unit operations related to exploration, drilling, extraction, and refining. The recovery technology used to extract crude oil is one of the key determining factors for water demand. The amount of produced water that is re-injected to recover the oil is essential in determining the amount of fresh water that will be required. During the complete life cycle of one barrel of conventional crude oil, 1.71-8.25 barrels of fresh water are consumed and 2.4-9.51 barrels of fresh water are withdrawn. The lowest coefficients are for Bow River heavy oil and the highest coefficients are for Maya crude oil. Of all the unit operations, exploration and drilling require the least fresh water (less than 0.015 barrel of water per barrel of oil produced). A sensitivity analysis was conducted and uncertainty in the estimates was determined.