Abstract: Examples of techniques for anonymizing data are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method includes receiving, by a processing device, raw data from a wellbore operation. The raw data can be associated with depths. The method further includes anonymizing, by the processing device, the raw data to convert the raw data to anonymized data. One or more techniques can be implemented to anonymize the data, such as shuffling the raw data, normalizing the raw data, and/or non-dimensionalizing the raw data. The method further includes analyzing, by the processing device, the anonymized data. The method further includes performing an action at the wellbore operation based at least in part on the analysis of the anonymized data.

Abstract: Examples of techniques for anonymizing data are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method includes receiving, by a processing device, raw data from a wellbore operation. The raw data can be associated with depths. The method further includes anonymizing, by the processing device, the raw data to convert the raw data to anonymized data. One or more techniques can be implemented to anonymize the data, such as shuffling the raw data, normalizing the raw data, and/or non-dimensionalizing the raw data. The method further includes analyzing, by the processing device, the anonymized data. The method further includes performing an action at the wellbore operation based at least in part on the analysis of the anonymized data.

Abstract: Examples of techniques for anonymizing data are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method includes receiving, by a processing device, raw data from a wellbore operation. The raw data can be associated with depths. The method further includes anonymizing, by the processing device, the raw data to convert the raw data to anonymized data. One or more techniques can be implemented to anonymize the data, such as shuffling the raw data, normalizing the raw data, and/or non-dimensionalizing the raw data. The method further includes analyzing, by the processing device, the anonymized data. The method further includes performing an action at the wellbore operation based at least in part on the analysis of the anonymized data.

Abstract: Examples of techniques for anonymizing data are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method includes receiving, by a processing device, raw data from a wellbore operation. The raw data can be associated with depths. The method further includes anonymizing, by the processing device, the raw data to convert the raw data to anonymized data. One or more techniques can be implemented to anonymize the data, such as shuffling the raw data, normalizing the raw data, and/or non-dimensionalizing the raw data. The method further includes analyzing, by the processing device, the anonymized data. The method further includes performing an action at the wellbore operation based at least in part on the analysis of the anonymized data.

Abstract: A method of predicting a property of an earth formation includes: injecting a fluid into at least one pre-existing feature of the formation at a plurality of constant pressures or flow rates; measuring a response from the at least one pre-existing feature at each of the plurality of constant pressures or flow rates; and estimating at least one property of the at least one pre-existing feature based on the response. An apparatus for predicting a property of an earth formation is also disclosed.

Abstract: A method for estimating a property of an earth formation penetrated by a borehole includes: performing a borehole integrity test at a pressure less than a fracture gradient pressure of the formation to provide leakage data; injecting a fluid into the formation at a first pressure greater than the fracture gradient pressure during a first injection time interval using a fluid injector; measuring pressure versus time using a pressure sensor and a timer during a first test time interval to provide first pressure data; injecting a fluid into the formation at a second flow rate greater than the first flow rate during a second injection time interval using the fluid injector; measuring pressure versus time using the pressure sensor and the timer during a second test time interval to provide second pressure data; and estimating the property using the first pressure data, the second pressure data, and the leakage data.

Abstract: A method for modeling flow properties over a series of time increments of a reservoir in an earth formation having a plurality of fractures is disclosed. The method includes: building a three-dimensional stress field representing stresses in the reservoir; building a three-dimensional discrete fracture network (NFM) having fracture flow properties using information obtained from a tool or changes to the stress field; running a flow simulation of the reservoir for a time increment using the NFM to model the flow properties of the reservoir for that time increment; computing a latest change in the three-dimensional stress field from the flow simulation; and incrementing the time increment and iterating the building the NFM using the latest change in the stress field, the running of the flow simulation using the latest NFM, and the computing a latest change in the stress field from the latest running of the flow simulation.

Abstract: A method for estimating a property of an earth formation penetrated by a borehole includes: performing a borehole integrity test at a pressure less than a fracture gradient pressure of the formation to provide leakage data; injecting a fluid into the formation at a first pressure greater than the fracture gradient pressure during a first injection time interval using a fluid injector; measuring pressure versus time using a pressure sensor and a timer during a first test time interval to provide first pressure data; injecting a fluid into the formation at a second flow rate greater than the first flow rate during a second injection time interval using the fluid injector; measuring pressure versus time using the pressure sensor and the timer during a second test time interval to provide second pressure data; and estimating the property using the first pressure data, the second pressure data, and the leakage data.

Abstract: A method for modeling flow properties over a series of time increments of a reservoir in an earth formation having a plurality of fractures is disclosed. The method includes: building a three-dimensional stress field representing stresses in the reservoir; building a three-dimensional discrete fracture network (NFM) having fracture flow properties using information obtained from a tool or changes to the stress field; running a flow simulation of the reservoir for a time increment using the NFM to model the flow properties of the reservoir for that time increment; computing a latest change in the three-dimensional stress field from the flow simulation; and incrementing the time increment and iterating the building the NFM using the latest change in the stress field, the running of the flow simulation using the latest NFM, and the computing a latest change in the stress field from the latest running of the flow simulation.

Abstract: A method of predicting a property of an earth formation includes: injecting a fluid into at least one pre-existing feature of the formation at a plurality of constant pressures or flow rates; measuring a response from the at least one pre-existing feature at each of the plurality of constant pressures or flow rates; and estimating at least one property of the at least one pre-existing feature based on the response. An apparatus for predicting a property of an earth formation is also disclosed.

Abstract: A method of locking data and a program that analyzes the data commences with a generation of a first key. This first key is associated with both the data and a specific, compiled copy of the program. A gatekeeper logic is generated. The gatekeeper logic utilizes at least the first key to prevent the specific, compiled copy of the program from analyzing data other than the specific data. In this way, the specific copy of the program is locked to specific data, and is accordingly limited to performing analysis operations utilizing the specific data.

Abstract: A method of locking data and a program that analyzes the data commences with a generation of a first key. This first key is associated with both the data and a specific, compiled copy of the program. A gatekeeper logic is generated. The gatekeeper logic utilizes at least the first key to prevent the specific, compiled copy of the program from analyzing data other than the specific data. In this way, the specific copy of the program is locked to specific data, and is accordingly limited to performing analysis operations utilizing the specific data.

Abstract: A method of locking geological data, such as acoustic well bore logging information, and an analyzer program that analyzes the geological data commences with a generation of a first key. This first key is associated with both the geological data and a specific, compiled copy of the analyzer program. Gatekeeper logic is generated, the gatekeeper logic utilizing at least the first key to prevent the specific, compiled copy of the analyzer program from analyzing geological data other than the specific geological data. In this way, the specific copy of the analyzer program is locked to specific geological data, and is accordingly limited to performing analysis operations utilizing the specific geological data.