Prediction and Delineation of the Hydrocarbon nature (Heavy or Light API) based on the anisotropic data for the limestone province in Potwar area.

Abstract

The prediction and delineation of the hydrocarbon nature (heavy or light API) is a crucial aspect of hydrocarbon exploration and production. The knowledge of the type of fluid present in a reservoir can have substantial effect on the total success in exploration & production efforts. In this study, we aim to explore the potential of anisotropic data for the prediction and delineation of the hydrocarbon nature in the limestone province in the Potwar area. Anisotropy is a measure of the directional dependency of physical properties, such as elastic properties and fluid permeability, in rocks. In the case of hydrocarbon reservoirs, anisotropy can provide insight into the type of fluid (heavy or light API) that is present. Seismic data obtained from surveys can be used to calculate anisotropy attributes, such as intrinsic acoustic anisotropy, which can help to identify the presence of different fluids in the reservoir. In the limestone province in the Potwar area, the presence of anisotropy can be used to predict the presence of heavy or light API hydrocarbons. A high degree of intrinsic acoustic anisotropy in a limestone reservoir may suggest the existence of heavy API oil, while a low degree of anisotropy may suggest the existence of light API oil. The results of this dissertation show the potential of anisotropic data in the prediction and delineation of the hydrocarbon nature in the limestone province in the Potwar area. This information can provide valuable input for hydrocarbon exploration and production efforts in the region. However, it is important to consider that this is just one of the many factors that must be taken into account when evaluating the potential of a reservoir. In conclusion, the use of anisotropy data in the prediction and delineation of the hydrocarbon nature can provide valuable information for hydrocarbon exploration and production efforts. This study highlights the potential of anisotropic data in the limestone province in the Potwar area and underscores the importance of considering anisotropy in hydrocarbon evaluation efforts. 5 The prediction and delineation of the hydrocarbon nature (heavy or light API) based on anisotropic data for the limestone province in the Potwar area can provide important information for exploration and production of hydrocarbon. Anisotropy is the measure in directional dependency of physical properties, such as elastic properties and fluid permeability, in rocks. In the case of hydrocarbon reservoirs, anisotropy can provide insight into the type of fluid (heavy or light API) that is present. The anisotropy data obtained from seismic surveys can be used to calculate anisotropy attributes, such as intrinsic acoustic anisotropy, which can help to identify the presence of different fluids in the reservoir. These attributes can also be applied to calculate the direction of horizontal max stress, which is a crucial element in deciding the stability of the reservoir and fluid flue direction. limestone province in the Potwar area, the presence of anisotropy can be used to predict the presence of heavy or light API hydrocarbons. For example, a high degree of intrinsic acoustic anisotropy in a limestone reservoir may suggest the existence of heavy API oil, while a low degree of anisotropy may suggest the existence of light API oil. It's important to note that the prediction and delineation of hydrocarbon nature based on anisotropic data is just one of the many factors that must be considered in exploration of hydrocarbons. Other factors, such as rock type, porosity, with effective permeability, saturation of fluid, must also be considered to determine the overall quality and potential of a reservoir. In conclusion, the use of anisotropy data in the prediction and delineation of the hydrocarbon nature in the limestone province in the Potwar area can provide valuable information for hydrocarbon exploration and production.