G01V3/18

Enhanced two point flux approximation scheme for reservoir simulation

A method for performing a modified two point flux approximation scheme is disclosed. The method includes: obtaining a first pressure value for a first neighbor cell and a second pressure value for a second neighbor cell, where the first neighbor cell has a first value of a reservoir property and the second neighbor cell as a second value of the reservoir property; determining a first weight using the first pressure value and a second weight using the second pressure value; calculating a third value of the reservoir property as a weighted average of the first value and the second value; and applying the third value to the first neighbor cell.

Method and system to analyze geologic formation properties

Systems and methods for determining properties of subterranean formations surrounding a wellbore are provided. An example method can include receiving an image of a formation sample; partitioning the image into a plurality of patches; detecting, via a semantic extraction processor, textures captured in the plurality of patches; associating the textures to a location of the image of the formation sample; reducing a dimension of representation of the textures to obtain one or more vectors, the one or more vectors being based on the textures; and providing a plurality of curves based on the one or more vectors.

Property based image modulation for formation visualization

A graphical representation of an image of a subterranean formation along with log properties of the formation provided in a single graphical representation. Logged formation property values are coded into graphic representations of images of the formation in order to provide a graphical representation which allows the user to visually perceive the formation images and the logged formation properties simultaneously. A method may include receiving an image of a formation, the image including image values based on the formation, and also receiving a log property of the formation, the log property including log property values based on the formation. The log property values of the formation are correlated to corresponding locations in the image. A transfer function with the image values and the correlated log property values as inputs is determined. Based on the transfer function, a joint graphical representation of the image and the log property is rendered.

System and methods for evaluating a formation using pixelated solutions of formation data

A system and method for evaluating a subterranean earth formation as well as a method of steering a drill bit in a subterranean earth formation. The system comprises a logging tool that is operable to measure formation data and locatable in a wellbore intersecting the subterranean earth formation. The system also comprises a processor that is in communication with the logging tool. The processor is operable to calculate multiple distance-to-bed-boundary (DTBB) solutions using the measured formation data, identify DTBB solutions that satisfy a threshold, convert the identified solutions into pixelated solutions by dividing the identified solutions into pixels, generate a formation model based on the pixelated solutions, and evaluate the formation using the generated formation model.

Method for obtaining gravity coefficients for orthogonally oriented accelerometer devices during measurement-while-drilling operations

A method for obtaining accuracy gravity coefficients out of three orthogonally oriented accelerometer devices and a thermometer by computing, using a pre-programmed micro-control unit processor, temperature errors, bias error coefficients, sensitivity error coefficients, and orthogonality error coefficients during measurement while drilling operations. Particularly, the method uses voltage data values of the three orthogonally oriented accelerometers to compute said error coefficients which provides for zero-error positioning of the MWD tool during long-term downhole surveying as well as while facing high-shock, vibrations, and high temperatures.

Detecting a moveable device position using fiber optic sensors

Fiber optic sensors are described for detecting the operational position of a downhole moveable device. In one example, an electric or magnetic field is emitted into the wellbore and interacts with the moveable assembly, thereby producing a secondary electric or magnetic field. The secondary field is detected by a fiber optic sensor which produces a corresponding response signal. The response signal is then processed in a variety of ways to determine the operational position of the moveable device. In another example, the operational position is determined using fiber optic temperature or acoustic sensors. A temperature or acoustic vibration reading is acquired before and after actuation of the moveable device. The two readings are then compared to determine the operation position of the moveable device.

Detecting a moveable device position using fiber optic sensors

Fiber optic sensors are described for detecting the operational position of a downhole moveable device. In one example, an electric or magnetic field is emitted into the wellbore and interacts with the moveable assembly, thereby producing a secondary electric or magnetic field. The secondary field is detected by a fiber optic sensor which produces a corresponding response signal. The response signal is then processed in a variety of ways to determine the operational position of the moveable device. In another example, the operational position is determined using fiber optic temperature or acoustic sensors. A temperature or acoustic vibration reading is acquired before and after actuation of the moveable device. The two readings are then compared to determine the operation position of the moveable device.

Accurate And Cost-Effective Inversion-Based Auto Calibration Methods For Resistivity Logging Tools

Systems and methods of the present disclosure relate to calibration of resistivity logging tool. A method to calibrate a resistivity logging tool comprises disposing the resistivity logging tool into a formation; acquiring a signal at each logging point with the resistivity logging tool; assuming a formation model for a first set of continuous logging points in the formation; inverting all of the signals for unknown model parameters of the formation model, wherein the formation model is the same for all of the continuous logging points in the first set; assigning at least one calibration coefficient to each type of signal, wherein the calibration coefficients are the same for the first set; and building an unknown vector that includes the unknown model parameters and the calibration coefficients, to calibrate the resistivity logging tool.

Distance-to-bed-boundary inversion solution pixelation

A pixelation-based approach to summarize downhole inversion results acquires inversion solutions and generates an initial model. Each layered solution is pixelated into pixels where each pixel contains the resistivity value of the initial model. A weighted function that weighs pixels according to their proximity to the logging tool may be used to generate the pixelated model to thereby improve accuracy. A statistical summary study is performed to identify the best pixelated model, which is then used to determine one or more formation characteristics.

SYSTEM AND METHOD FOR ESTIMATING POROSITY OF POROUS FORMATIONS USING PERMITTIVITY MEASUREMENTS

A system for analysis of isolated and connected porosities of a porous formation using permittivity is disclosed. An electrical subsystem can provide electrical signals for one or more of the porous formation or a representation of the porous formation; and the system can determine one or more of a rate of permittivity change (RPC) or permittivity ratio (PR) from a first estimation model that relates permittivity measurements and frequencies that are associated with the electrical signals, so that the system can generate a second estimation model using one or more of the RPC or the PR, associated with the isolated and connected porosities, where the second estimation model can be used with a total porosity of the porous formation to estimate or predict an isolated porosity and a connected porosity of a production porous formation.