Abstract: Systems and methods for predicting and optimizing the effects of acidizing treatment of carbonate rock are disclosed. The disclosed methods predict the conflicting effects of increased production (i.e., wormhole creation) and reduced rock compressive strength due to acid rock reactions. The mechanical stability of stimulated wellbores, such as horizontal wellbores, can be determined under different acidizing conditions, such as acid type and volume. The acidizing conditions can be optimized to maximize short and long-term production.

Abstract: Systems and methods for predicting and optimizing the effects of acidizing treatment of carbonate rock are disclosed. The disclosed methods predict the conflicting effects of increased production (i.e., wormhole creation) and reduced rock compressive strength due to acid rock reactions. The mechanical stability of stimulated wellbores, such as horizontal wellbores, can be determined under different acidizing conditions, such as acid type and volume. The acidizing conditions can be optimized to maximize short and long-term production.

Abstract: Systems and methods for predicting and optimizing the effects of acidizing treatment of carbonate rock are disclosed. The disclosed methods predict the conflicting effects of increased production (i.e., wormhole creation) and reduced rock compressive strength due to acid rock reactions. The mechanical stability of stimulated wellbores, such as horizontal wellbores, can be determined under different acidizing conditions, such as acid type and volume. The acidizing conditions can be optimized to maximize short and long-term production.

Abstract: Predicting downhole acoustic tool responses due to stress-induced anisotropy by performing at least the following: receiving a plurality of input data corresponding to at least one well site comprising a wellbore; constructing a three-dimensional geomechanical model based at least in part on the input data; creating at least one near field versus far field stress distribution that corresponds to the wellbore from the three-dimensional geomechanical model; creating, at least one near wellbore versus far-field velocity distribution using the at least one near field versus far field stress distribution; comparing the downhole acoustic tool response property that indicates a downhole acoustic tool's penetration depth for a subsurface geological formation with the near wellbore velocity fields; and flagging, where the downhole acoustic tool response property stays within the near-wellbore velocity field.

Abstract: Systems and methods for analyzing and designing a customized pulse fracturing operation for fracturing a wellbore in a reservoir formation are disclosed. Pulsed fracturing can create multiple fractures that radiate away from the wellbore while minimizing near wellbore damage. This network can further be extended into the reservoir by utilizing an optimized pumping rate over a predetermined amount of time. The optimized pulse rate and duration can be determined by using a geomechanical and a reservoir simulator which can help in quantifying the production efficiency of the induced fracture network.

Abstract: Systems and methods for an integrated wellbore stress, stability and strengthening analysis are disclosed. An integrated geomechanical tool can be used to analyze and evaluate stress along the length of the wellbore to identify a safe drilling mud weight window and help identify troublesome zones in the wellbore. Fracture length may then be predicted in the identified troublesome zones by using a stress tensor calculated during the stress analysis. The calculated fracture length may be used to perform a strengthening analysis. After performing strengthening analysis, mud loss may be predicted based on predicted fracture size calculated during the stress, stability and strengthening analyzes.

Abstract: Predicting downhole acoustic tool responses due to stress-induced anisotropy by performing at least the following: receiving a plurality of input data corresponding to at least one well site comprising a wellbore; constructing a three-dimensional geomechanical model based at least in part on the input data; creating at least one near field versus far field stress distribution that corresponds to the wellbore from the three-dimensional geomechanical model; creating, at least one near wellbore versus far-field velocity distribution using the at least one near field versus far field stress distribution; comparing the downhole acoustic tool response property that indicates a downhole acoustic tool's penetration depth for a subsurface geological formation with the near-wellbore velocity fields; and flagging, where the downhole acoustic tool response property stays within the near-wellbore velocity field.

Abstract: Systems and methods for analyzing and designing a customized pulse fracturing operation for fracturing a wellbore in a reservoir formation are disclosed. Pulsed fracturing can create multiple fractures that radiate away from the wellbore while minimizing near wellbore damage. This network can further be extended into the reservoir by utilizing an optimized pumping rate over a predetermined amount of time. The optimized pulse rate and duration can be determined by using a geomechanical and a reservoir simulator which can help in quantifying the production efficiency of the induced fracture network.

Abstract: Systems and methods for an integrated wellbore stress, stability and strengthening analysis are disclosed. An integrated geomechanical tool can be used to analyze and evaluate stress along the length of the wellbore to identify a safe drilling mud weight window and help identify troublesome zones in the wellbore. Fracture length may then be predicted in the identified troublesome zones by using a stress tensor calculated during the stress analysis. The calculated fracture length may be used to perform a strengthening analysis. After performing strengthening analysis, mud loss may be predicted based on predicted fracture size calculated during the stress, stability and strengthening analyses.