Abstract: Method for using sensitivity analysis to inform the design and performance of a well test are provided. In one embodiment, a method includes providing a reservoir model of pressure transient behavior and performing a sensitivity analysis to identify an input parameter of the reservoir model that can be estimated from pressure transient test data collected from a well location. This method also includes using the results of the sensitivity analysis to design a pressure transient well test for measuring the identified input parameter. Other methods and systems are also disclosed.

Abstract: Methods for interpreting pressure transient tests and predicting future production for a well are provided. In one embodiment, a method for predicting future production includes beginning a pressure transient test within a well at a wellsite and obtaining pressure measurements of well fluid during the pressure transient test. The method can also include using the obtained pressure measurements to determine probabilistic estimates of input parameters of a pressure transient reservoir model while continuing the pressure transient test. Future production from the well can then be estimated based on the probabilistic estimates of the input parameters. Other methods and systems are also disclosed.

Abstract: Methods for interpreting pressure transient tests and predicting future production for a well are provided. In one embodiment, a method for predicting future production includes beginning a pressure transient test within a well at a wellsite and obtaining pressure measurements of well fluid during the pressure transient test. The method can also include using the obtained pressure measurements to determine probabilistic estimates of input parameters of a pressure transient reservoir model while continuing the pressure transient test. Future production from the well can then be estimated based on the probabilistic estimates of the input parameters. Other methods and systems are also disclosed.

Abstract: Techniques for modelling a production forecast for a well are described. In one embodiment, a method includes calibrating a geological reservoir model by analyzing pressure transient well tests, fitting the geological reservoir model to pressure data to estimate model parameters, and building a simulated history of bottom hole pressure based on the model and measured transient flow data. The calibrating may further include fitting the model to flow rate data, using measured and simulated pressure data as input, to estimate model parameters, and then building a simulated history of downhole flow rate based on the model and change in measured pressure data. The calibrated model can be used to forecast future well production. Additional methods, systems, and devices are also disclosed.

Abstract: Method for using sensitivity analysis to inform the design and performance of a well test are provided. In one embodiment, a method includes providing a reservoir model of pressure transient behavior and performing a sensitivity analysis to identify an input parameter of the reservoir model that can be estimated from pressure transient test data collected from a well location. This method also includes using the results of the sensitivity analysis to design a pressure transient well test for measuring the identified input parameter. Other methods and systems are also disclosed.

Abstract: Method for using sensitivity analysis to inform the design and performance of a well test are provided. In one embodiment, a method includes providing a reservoir model of pressure transient behavior and performing a sensitivity analysis to identify an input parameter of the reservoir model that can be estimated from pressure transient test data collected from a well location. This method also includes using the results of the sensitivity analysis to design a pressure transient well test for measuring the identified input parameter. Other methods and systems are also disclosed.

Abstract: Methods for interpreting pressure transient tests and predicting future production for a well are provided. In one embodiment, a method for predicting future production includes beginning a pressure transient test within a well at a wellsite and obtaining pressure measurements of well fluid during the pressure transient test. The method can also include using the obtained pressure measurements to determine probabilistic estimates of input parameters of a pressure transient reservoir model while continuing the pressure transient test. Future production from the well can then be estimated based on the probabilistic estimates of the input parameters. Other methods and systems are also disclosed.

Abstract: Techniques for modelling a production forecast for a well are described. In one embodiment, a method includes calibrating a geological reservoir model by analyzing pressure transient well tests, fitting the geological reservoir model to pressure data to estimate model parameters, and building a simulated history of bottom hole pressure based on the model and measured transient flow data. The calibrating may further include fitting the model to flow rate data, using measured and simulated pressure data as input, to estimate model parameters, and then building a simulated history of downhole flow rate based on the model and change in measured pressure data. The calibrated model can be used to forecast future well production. Additional methods, systems, and devices are also disclosed.

Abstract: Method for using sensitivity analysis to inform the design and performance of a well test are provided. In one embodiment, a method includes providing a reservoir model of pressure transient behavior and performing a sensitivity analysis to identify an input parameter of the reservoir model that can be estimated from pressure transient test data collected from a well location. This method also includes using the results of the sensitivity analysis to design a pressure transient well test for measuring the identified input parameter. Other methods and systems are also disclosed.

Abstract: A method for determining rock and fluid properties of a fluid-containing subsurface geological formation is provided. First, a low resolution model of the geological formation is initially created from a lumped average parameter estimation derived from at least fluid pressure transient data obtained along a linear wellbore that traverses the formation. Next, the model parameters are updated using grid-based parameter estimation in which the low resolution pressure transient data are combined with data from at least one of seismic data, formation logs, and basic geological structural information surrounding the linear wellbore. Depending on the data available, this process may be carried out in a sequential manner by obtaining and combining additional dynamic data at selected areas. Through this process, multiple realizations of the properties of the geological formation (within the geological structural model) may be created based from the pressure-data conditioned geostatistics i.e.