Abstract: A drill guidance device, a method to control a trajectory of a drill, and a non-transitory computer readable medium that determine the corrected drill angle and send an output signal to a drill controller configured to control an angle of a drill. The corrected drill angle is determined by at least one of a slant angle data and a formation property data received from a sensor device. The drill guidance device, the method to control a trajectory of a drill, and the non-transitory computer readable medium can be implemented in a measuring while drilling model to provide live guidance during a drilling operation or a predictive model to plan prior to the start of a drilling operation. The corrected drill angle is acted upon by a drill controller to maximize the productivity of an oil reservoir.

Abstract: An apparatus and a method of formulating an empirical correlation model that estimates inflow performance relationship (IPR) of a snaky well. The model provisions for determining inclination and azimuth direction of the snaky well. A plurality of grid models is simulated for a predetermined well bottom-hole pressure. The grid models are validated by comparing the response of each grid to the response of a horizontal well. Sensitivity analysis is performed to determine the impact of the snaky well parameters on the IPR of the snaky well. Additionally, regression analysis is performed based on the sensitivity analysis in order to determine Vogel based quadratic coefficient that estimates the IPR of the snaky well. A transformation of the snaky well parameters is performed in order to determine a sum of squared errors, whereafter a linear weighting of the transformed parameters is computed to determine a correlation parameter of the empirical model.

Abstract: An improved inflow performance model that provides the performance of oil wells having any slant angle within the entire azimuth of 0-90 degrees, in saturated and under saturated reservoirs. A generalized model is formulated by normalizing the coefficients of inflow performance relationship (IPR) model by performing a linear regression analysis. The generalized model is further modified to account for skin factor and is also integrated with a straight line IPR to be suitable for determining the performance of under saturated oil wells. For the case of flowing bottom-hole pressures above bubble point pressure, the straight line IPR model is used to determine the flow rate of the oil well, whereas for the case of having bottom-hole pressure below the bubble point pressure, the generalized IPR model is used to determine the flow rate performance of the well.

Abstract: A method for assessing an inflow performance relationship for a horizontal well in heterogeneous solution gas drives reservoirs. A commercial simulator Eclipse is utilized to develop IPRs for horizontal wells producing oil from solution gas drive reservoirs. Firstly, a simulation model is developed where a base case is considered with typical rock, fluid and reservoir properties using a black oil model. Dimensionless IPR curves are generated by obtaining a set of points relating to flowing bottom-hole pressures to oil production rates. The effects of several reservoir and fluid properties such as bubblepoint pressure, oil gravity, residual oil saturation, critical gas saturation, initial water saturation, porosity and absolute permeabilities on the calculated curves are investigated. A new single empirical IPR model is obtained for horizontal wells producing oil from heterogeneous solution gas drive reservoirs suitable for systems with different reservoir permeability.

Abstract: Methods and systems to estimate physical dimensions of actual obstructions identified as being in a wellbore of an injection well are provided. Methods and systems include the determination of a well performance model with a simulated obstruction, using inflow performance and outflow performance relationships.

Abstract: An improved inflow performance model that provides the performance of oil wells having any slant angle within the entire azimuth of 0-90 degrees, in saturated and under saturated reservoirs. A generalized model is formulated by normalizing the coefficients of inflow performance relationship (IPR) model by performing a linear regression analysis. The generalized model is further modified to account for skin factor and is also integrated with a straight line IPR to be suitable for determining the performance of under saturated oil wells. For the case of flowing bottom-hole pressures above bubble point pressure, the straight line IPR model is used to determine the flow rate of the oil well, whereas for the case of having bottom-hole pressure below the bubble point pressure, the generalized IPR model is used to determine the flow rate performance of the well.

Abstract: A method and a system determine multi-zones commingling in oil field production. The system includes a processing circuitry configured to: identify a plurality of zones in a well to be analyzed based on first differences in properties or flow performance; calculate a normalized bubble point pressure; define a first bottom hole flowing pressure for the well; define flowing pressures after excluding the zone with the highest saturation pressure; calculate a normalized bottom-hole flowing pressure and a corresponding flow rate ratio; plot the flow rate ratio versus the normalized bottom-hole flowing pressure and the flow rate ratio versus the bottom-hole flowing pressure in a Cartesian scale; and determine the feasibility to produce from all the zones.

Abstract: The feasibility of performing hydraulic fracturing can be assessed by analyzing the effect of skin on the overall deliverability of a reservoir. Aspects of the disclosure provide a method to determine equivalent skin in hydraulic fractured system through a semi analytical correlation obtained by numerical modeling. Two 3D models are considered: a base case without fracture and a complex case with fractures. The base case is simulated by varying matrix permeabilities while the fractured model is run with different sets of varying fracture's lengths, widths, and permeability as well as matrix permeabilities. The two cases are comparatively analyzed and skin is determined. A generalized correlation for determination of skin is derived through application of multivariate regression technique on obtained skins and their corresponding variables.

Abstract: An improved method using fuzzy logic for predicting liquid slip holdup in multiphase flow in pipes. The method improves the Beggs and Brill multiphase flow correlation. Fuzzy sets are defined for all variables in the Beggs Brill liquid-slip holdup equation horizontal multiphase flow. Fuzzy logic is used to calculate the Beggs Brill a, b, and c coefficients from known values for Froude number and the no-slip holdup. Using the Minami and Brill data set and the Abdul Majeed data set the fuzzy logic prediction of liquid slip holdup is compared to the Beggs Brill correlation, the modified Beggs Brill correlation, and several other multiphase correlations. Using a variety of error metrics the fuzzy logic predictions perform better than all other multiphase correlations.

Abstract: The invention investigates the effects of reservoir heterogeneity on IPR curves for horizontal wells drilled in heterogeneous solution gas drive reservoirs. To achieve the desired objective, a commercial simulator Eclipse is utilized to develop IPRs for horizontal wells producing oil from solution gas drive reservoirs. Firstly, a simulation model is developed where a base case is considered with typical rock, fluid and reservoir properties using a black oil model. Dimensionless IPR curves are generated by obtaining a set of points relating to flowing bottom-hole pressures to oil production rates. The effects of several reservoir and fluid properties such as bubblepoint pressure, oil gravity, residual oil saturation, critical gas saturation, initial water saturation, porosity and absolute permeabilities on the calculated curves are investigated. Reservoir heterogeneity is included in the simulation model by incorporating a semi-variogram function.