Abstract: An auxiliary system for intelligent well control includes augmented reality (AR) glasses, a server, and a first sensor group. The first sensor group is configured to collect real-time data of a wellbore and the surface and transmit the real-time data to the server. The server is configured to analyze a target pressure value of a choke valve of the surface according to the real-time data, obtain an actual pressure value of the choke valve of the surface from the real-time data, and transmit the actual pressure value and the target pressure value to the AR glasses. The AR glasses are configured to dynamically display the actual pressure value and the target pressure value in real time. Through the first sensor group and the server, the actual pressure value and the target pressure value can be accurately received by an operator in real time.

Abstract: An auxiliary system for intelligent well control includes augmented reality (AR) glasses, a server, and a first sensor group. The first sensor group is configured to collect real-time data of a wellbore and the surface and transmit the real-time data to the server. The server is configured to analyze a target pressure value of a choke valve of the surface according to the real-time data, obtain an actual pressure value of the choke valve of the surface from the real-time data, and transmit the actual pressure value and the target pressure value to the AR glasses. The AR glasses are configured to dynamically display the actual pressure value and the target pressure value in real time. Through the first sensor group and the server, the actual pressure value and the target pressure value can be accurately received by an operator in real time.

Abstract: A method for measuring a rheological property of a drilling fluid by using a curved pipe on site includes: step 1: deriving relationship constants between friction coefficients of a drilling fluid through offline checking; step 2: calculating Rei according to fci; step 3: calculating an actual shear stress ?wi and a shear rate ?i of the drilling fluid in the on-site curved pipe according to the relationship constants and Rei; step 4: establishing a plurality of on-site models according to ?wi and ?i; step 5: determining an optimal on-site model according to correlations between ?wi and predicted shear stresses of the plurality of on-site models; and step 6: performing on-site measurement on the rheological property of the drilling fluid according to the optimal on-site model. The method avoids inaccurate rheological measurement due to different types of drilling fluids and improves the measurement accuracy for different types of drilling fluids.