A treatment system comprises a treatment bladder associated with a volume of a tubing-casing annulus of a wellhead system to be treated. The treatment bladder contains a treatment fluid and is at an elevated pressure. The treatment bladder is coupled to the tubing-casing annulus utilizing a fluid conduit through a lower fluid junction. The fluid conduit permits two-way fluid communication between the treatment bladder and the tubing-casing annulus. A method for treating the tubing-casing annulus includes coupling the treatment bladder containing the treatment fluid of the treatment system to the tubing-casing annulus of the wellhead system using the fluid conduit, establishing two-way fluid communication between the tubing-casing annulus and the treatment bladder though the fluid conduit, halting fluid communication though the fluid conduit, and decoupling the treatment bladder from the tubing-casing annulus.

Method and system for developing reservoirs, such as hydrocarbon reservoirs or aquifers, including correcting pressure transient test data to account for variations of fluid density between a gauge depth and a mid-reservoir depth in a wellbore. Gauge depth pressure and temperature measurements, and density correlations are used to estimate mid-reservoir depth pressures, which can be used in a pressure transient analysis.

A system and method to predict or detect screen outs by measuring pressure conditions in the well in real-time, and that conducts mitigation of the condition. Pressure responses of the well are detected during a fracture operation. The system processes the pressure responses by removing the effects of non-screen out related factors. A mathematical model is applied to the pressure responses to detect or predict the screen out. In response to the screen out detection or prediction, corrective action may be initiated.

Improved reservoir simulation methods and systems are provided that employ a new velocity model in conjunction with a sequential implicit (SI) formulation or Sequential Fully Implicit (SF) formulation for solving the discrete form of the system of nonlinear partial differential equations. In embodiments, the new velocity model employs a fluid transport equation part based on calculation of phase velocity for a number of fluid phases that involves capillary pressure and a modification coefficient. In embodiments, the modification coefficient can be based on a derivative of capillary pressure with respect to saturation. In another aspect, the new velocity model can employ an estimate of the phase velocity of the water phase v.sub.w_est that is based on one or more derivatives of capillary pressure of the water phase as a function of water saturation.

A method to manipulate a well comprising providing an apparatus (60) in a well (14) below a packer (22) or other annular sealing device, the apparatus comprising a container (68) having a volume of gas which is sealed at the surface and nm into the well, such that the pressure in the container (68) is at a lower pressure than the surrounding well. When the apparatus is below the packer, a wireless control signal, is sent to operate a valve assembly (62) to selectively allow fluid to enter the container whereby at least 50 litres of fluid is drawn into the container. In this way, the apparatus can be used independent of perforating guns, to clear perforations or other areas in the well or may be used for a variety of tests such as an interval test, drawdown test or a connectivity test such as a pulse or interference test.

Systems and methods include a computer-implemented method for predicting values. A numerical simulation model is generated based on observed production rates and flowing pressure and build-up (FPBU) test rates. A simulated diagnostic plot is generated using simulated FPBU data extracted from the numerical simulation model. Simulation model properties of the numerical simulation model are adjusted until the simulated diagnostic plot matches within a tolerance to an observed FPBU diagnostic plot. Predicted values including a static pressure, a water cut, and a gas-oil rate (GOR) are predicted using the simulated FPBU data. Observed data of a reservoir is reviewed and quality-checked based on comparing the predicted values within a tolerance of the observed data.

A method may comprise positioning a downhole fluid sampling tool into a wellbore, performing a pressure test operation within the wellbore, performing a pumpout operation within the wellbore, identifying when a clean fluid sample may be taken by the downhole fluid sampling tool from at least the pressure test operation and the pumpout operation, and acquiring the clean fluid sample from the wellbore. A system may comprise a downhole fluid sampling tool and an information handling machine. The downhole fluid sampling tool may further comprise one or more probes attached to the downhole fluid sampling tool, one or more stabilizers attached to the downhole fluid sampling tool, and a sensor placed in the downhole fluid sampling tool configured to measure drilling fluid filtrate.

Method for characterizing subterranean formation is described. One method involves simulating a poroelastic pressure response of known fracture geometry utilizing a geomechanical model to generate a simulated poroelastic pressure response. Compiling a database of simulated poroelastic pressure responses. Measuring a poroelastic pressure response of the subterranean formation during a hydraulic fracturing operation to generate a measured poroelastic pressure response. Identifying a closest simulated poroelastic pressure response in the library of simulated poroelastic pressure response. Estimating a geometrical parameter of a fracture or fractures in the subterranean formation based on the closest simulated poroelastic pressure response.

A method for evaluating a gas well productivity with eliminating an influence of liquid loading includes steps of: collecting basic data of a liquid loading gas well; according to a relative density of natural gas, a formation depth, and a casing pressure during a productivity test, determining a pressure generated by a static gas column in an annular space between a casing and a tubing from a well head to a bottomhole of the gas well, and obtaining a bottomhole pressure without liquid loading; according to a pseudo-pressure of a formation pore pressure, pseudo-pressures of the bottomhole pressure respectively under the conditions of liquid loading and no liquid loading, and a production rate under the condition of liquid loading, determining a production rate without liquid loading, and determining an absolute open flow rate with eliminating the influence of liquid loading.

A system includes a processing device and a non-transitory computer-readable medium having instructions stored thereon that are executable by the processing device to cause the system to perform operations. The operations include generating and running a reservoir simulation model. The reservoir and simulation model includes representative natural fracture or secondary porosity attributes for an area of interest for one or more wells. The operations also include generating a synthetic G-function response using results of the reservoir simulation model. Additionally, the operations include calibrating the synthetic G-function response from the reservoir simulation model to a field G-function response generated using results of a field diagnostic fracture injection test by changing natural fracture characteristics of the reservoir simulation model. Further, the operations include formulating a drilling plan, a completion plan, or both for a wellbore in the area of interest using the synthetic G-function response.