
| Process Ecology’s heavy oil and bitumen characterization services target the increasing challenge of transporting bitumen and heavy crudes, as well as the associated decisions for purchasing and processing opportunity crudes. The challenge remains in the prediction of the behaviour of these fluids as they enter the transportation and refining systems. Design of systems based on inappropriate characterization of crudes may potentially result in a number of expensive problems such as:
Process Ecology specializes in characterizing bitumen/ heavy crude oils and accurately predicting the properties of these materials, often based on limited bulk data. Conventional approaches such as extrapolating property data (e.g., viscosity) or using an out-of-the-box simulator to predict heavy oil performance usually does not give satisfactory results. Process Ecology has developed a novel characterization and statistical analysis method to characterize heavy oils. In cases where very little data is available, heavy crude oils with similar bulk properties are compared and reasonable characterization parameters can be obtained. Typically, a set of hypothetical components is generated that can be used in process simulators which accommodate customization of such components. Process Ecology can also help clients to understand issues specific to heavy oils, such as:
Traditional oil characterization methods available in many process simulators fail when it comes to characterization and modeling heavy oils. Even when more detailed compositional or assay representation is available it generally does not provide insight into properly characterizing the heavier portion of the oil. Process Ecology has the expertise to use your data to develop an accurate characterization for your heavy oil. This is the first step in ensuring that there is an accurate basis for simulation applications such as pipeline transmission and heavy oil processing. A brief description of our methodology is outlined below:
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Crude and condensate TBPs are combined to generate a blended TBP, then the curve is cut into small intervals, and ultimately converted to hypothetical components. |
