نوع مقاله : یادداشت فنی
نویسندگان
1 دانشکدهی مهندسی شیمی و نفت، دانشگاه صنعتی شریف
2 دانشکده ی مهندسی نفت اهواز، دانشگاه صنعت نفت
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
Estimation of properties of near-wellbore damaged zone made by drilling, completion, injection, and other operations is a challenging issue in reservoir engineering. Researchers have proposed different methods to predict reduction in damaged zone permeability; however, few studies have focused on the prediction of the damaged zone radius and its permeability. In this study, a simple and practical method is proposed to predict the damaged zone properties, i.e., radius and permeability, based on pressure drawdown test data.In this approach, pressure derivative curves for a homogenous reservoir as a base case and a reservoir with spatial permeability variation based on Composite Reservoir model are compared. Eventually, the pressure data points were used for comparison from a drawdown test in a synthetic reservoir model. This spatial permeability variation represents a permeability anomaly. Permeability anomaly makes pressure derivative curve deviate from base curve for corresponding homogenous reservoirs. The parameters of permeability anomaly such as size, orientation, and location have different effects on pressure derivative curve. In reservoir with simple permeability heterogeneity that has a single permeability anomaly, originating location and end location of an anomaly can be predicted by pressure derivative curve.In this study, damaged area radius of a damaged homogeneous reservoir, causing a single anomaly in permeability, is calculated by means of pressure derivative curve, known correlations, and the result from pressure wave propagation concept in reservoir. Short-term pressure data is used to measure the damaged permeability. The method has been validated in a synthetic cylindrical reservoir generated by numerical simulation, as well as in an actual reservoir. For the actual reservoir example, validation is made by comparing the results with Skin Factor model. The proposed method is suggestive of its ability to predict the damaged radius and permeability very well.
کلیدواژهها [English]
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