Abstract: A method including positioning a formation testing tool within a wellbore formed within a subsurface reservoir, wherein the tool has a focused opening to enable fluid communication with the reservoir, and the tool has a horizontally-displaced observation probe configured to obtain pressure data; determining one of horizontal permeability and horizontal mobility of the reservoir based on measuring a flow response of the subsurface reservoir one of at and adjacent to the observation probe; and determining orthogonal components of one of the horizontal permeability and horizontal mobility based on the measured flow response.

Abstract: A tool is to be used within a wellbore including a wall and extending into a formation with formation fluid. The tool includes a packer expandable against the wellbore wall with ports included within the packer to enable formation fluid to flow into the tool from the formation. The ports are arranged in a first port configuration optimized based upon a first predetermined formation property.

Abstract: A method for detection of permeability anisotropy, having steps of positioning a formation testing tool, conducting a series of three flow tests with the testing tool wherein a first test is a four drain flow test, a second test is a pair of opposite drains flowing on diametrically opposite sides of the formation testing tool and a third test is a second pair of opposite drains flowing on opposite drains different than the second test; determining one of horizontal permeability and horizontal mobility, determining one of orthogonal components of horizontal permeability and horizontal mobility based on the measured flow response and determining a direction of the orthogonal components of the horizontal permeability or horizontal mobility with respect to the orientation of the formation testing tool based on a measured flow response.

Abstract: A tool is to be used within a wellbore including a wall and extending into a formation with formation fluid. The tool includes a packer expandable against the wellbore wall with ports included within the packer to enable formation fluid to flow into the tool from the formation. The ports are arranged in a first port configuration optimized based upon a first predetermined formation property.

Abstract: A method including positioning a formation testing tool within a wellbore formed within a subsurface reservoir, wherein the tool has a focused opening to enable fluid communication with the reservoir, and the tool has a horizontally-displaced observation probe configured to obtain pressure data; determining one of horizontal permeability and horizontal mobility of the reservoir based on measuring a flow response of the subsurface reservoir one of at and adjacent to the observation probe; and determining orthogonal components of one of the horizontal permeability and horizontal mobility based on the measured flow response.

Abstract: A method for detection of permeability anisotropy, having steps of positioning a formation testing tool, conducting a series of three flow tests with the testing tool wherein a first test is a four drain flow test, a second test is a pair of opposite drains flowing on diametrically opposite sides of the formation testing tool and a third test is a second pair of opposite drains flowing on opposite drains different than the second test; determining one of horizontal permeability and horizontal mobility, determining one of orthogonal components of horizontal permeability and horizontal mobility based on the measured flow response and determining a direction of the orthogonal components of the horizontal permeability or horizontal mobility with respect to the orientation of the formation testing tool based on a measured flow response.

Abstract: Apparatus and methods to perform downhole fluid analysis using an artificial neural network are disclosed. A disclosed example method involves obtaining a first formation fluid property value of a formation fluid sample from a downhole fluid analysis process. The first formation fluid property value is provided to an artificial neural network, and a second formation fluid property value of the formation fluid sample is generated by means of the artificial neural network.

Abstract: Apparatus and methods to perform downhole fluid analysis using an artificial neural network are disclosed. A disclosed example method involves obtaining a first formation fluid property value of a formation fluid sample from a downhole fluid analysis process. The first formation fluid property value is provided to an artificial neural network, and a second formation fluid property value of the formation fluid sample is generated by means of the artificial neural network.

Abstract: A technique is described for interpretation of IPTT tests. In one implementation, the technique may be configured or designed to standardize the complete interpretation procedure of IPTT in a heterogeneous reservoir, using if available, modern wireline logs (such as, for example, nuclear magnetic resonance and imaging), dynamic data from wireline formation testers and/or any other relevant information (such as, for example, geological description, core data and local knowledge) as constraints on the interpretation. Additionally, an iterative method may be used to define formation layering. An advanced regression technology may also be used to obtain optimized horizontal and vertical permeabilities of reservoir layers.

Abstract: A technique is described for interpretation of IPTT tests. In one implementation, the technique may be configured or designed to standardize the complete interpretation procedure of IPTT in a heterogeneous reservoir, using if available, modern wireline logs (such as, for example, nuclear magnetic resonance and imaging), dynamic data from wireline formation testers and/or any other relevant information (such as, for example, geological description, core data and local knowledge) as constraints on the interpretation. Additionally, an iterative method may be used to define formation layering. An advanced regression technology may also be used to obtain optimized horizontal and vertical permeabilities of reservoir layers.

Abstract: A method of assuring the collection of reliable and quality fluid sample includes the steps of acquiring a fluid sample at a point of acquisition, analyzing physical and chemical properties of the fluid sample at the point of acquisition; recording the point of acquisition sample properties in an electronic database archive, analyzing physical and chemical properties of the fluid sample at a location remote from the point of acquisition, recording the remote location sample properties in the archive, validating the fluid sample through comparison of the point of acquisition sample properties and the remote location sample properties and recording the validated sample properties in the archive.