Heavy oil viscosity is one of the few criteria available to help predict if cold production will give economic rates, or if thermal processes will be required to reduce the oil viscosity to achieve the required rates. If cold production is selected, viscosity is again used to help determine whether vertical or horizontal wells should be used. Viscosity data are also used to adjust cold production exploitation strategies if the production rates are significantly lower than expected. Petrovera conducted an extensive viscosity data collection project in a newly developed Elk Point area reservoir with lower than expected, and more erratic than expected, cold production rates. Oil samples collected over short periods of time resulted in viscosity values for the same well varying by a factor of four or more, with similar variations between close-spaced wells. Collection of repeated samples and submission of those samples to several commercial labs resulted in similar viscosity measurement scatter. To further evaluate viscosity data scatter, multiple samples were collected from one well at the same time using the same procedures. These samples were then submitted to several labs in triplicate using three different well names to achieve an unbiased test. Reported viscosity scatter was again large. The objectives of this article are to:display the results of the study to bring this issue to the forefront for discussion; and,encourage commercial labs to develop an industry-wide standard method of heavy oil sample cleaning and viscosity measurement. Introduction Why Is It Important to Know Heavy Oil Viscosity Accurately? Heavy oil exploitation is an important segment of the oil and gas industry in Canada(1) and a number of other countries(2). Motivating factors for exploitation of Canadian heavy oil and bitumen are the large volumes of resources in place and the high historic demand for asphalt-based products that are more readily obtained from heavy oil and bitumen. Western Canadian heavy oil and bitumen reservoirs (Figure 1) have been exploited with varying degrees of success for more than 60 years(3). Early workers in the field of heavy oil and bitumen exploitation quickly determined that primary production responses (also called cold production responses) varied greatly from field to field. They also discovered that the addition of heat in the form of steam often greatly increased the production response. Viscosity became one of the most valued criteria in their efforts to predict production response from a new field using easily measured parameters. The popularity of the viscosity screening criterion has been demonstrated by the fact that virtually all technical papers on heavy oil production response or production process development include a discussion of oil viscosity. What is missing from the literature is an industry-wide standard of viscosity ranges and the corresponding recommended exploitation processes. This is because each company has its own 'best exploitation process vs.

Heavy oil viscosity is one of the few criteria available to help predict if cold production will give economic rates, or if thermal processes will be required to reduce the oil viscosity to achieve the required rates. If cold production is selected, viscosity is again used to help determine whether vertical or horizontal wells should be used. Viscosity data are also used to adjust cold production exploitation strategies if the production rates are significantly lower than expected.Petrovera conducted an extensive viscosity data collection project in a newly developed Elk Point area reservoir with lower than expected, and more erratic than expected, cold production rates. Oil samples collected over short periods of time resulted in viscosity values for the same well varying by a factor of four or more, with similar variation between close-spaced wells.Collection of repeated samples and submission of those samples to several commercial labs resulted in similar viscosity measurement scatter. To further evaluate viscosity data scatter, multiple samples were collected from one well at the same time using the same procedures. These samples were then submitted to several labs in triplicate using, three different well names, to achieve an unbiased test. Reported viscosity scatter was again large.The objectives of this paper are to: (1) display the results of the study to bring this issue to the forefront for discussion, and (2) encourage commercial labs to develop an industry-wide standard method of heavy oil sample cleaning and viscosity measurement.