A testing apparatus for testing a fluid and a loss control material (LCM) is provided. The testing apparatus includes a testing chamber having an upstream end, a downstream end, a device central axis, and a general flow direction. The testing chamber includes a chamber body having an upstream cap, a downstream cap, a first chamber wall, and a second chamber wall. The first chamber wall has a first diameter and in part defines a first chamber interior, the second chamber wall has a second diameter, the first diameter is less than the second diameter, and both the first chamber wall and the second chamber wall are positioned relative to one another such that an annulus is defined in part in between. The traversal of the fluid and the LCM along the fluid flow path is restricted by a flow restriction.

Agricultural systems have increased in complexity to allow farmers to control the environmental factors impacting a crop. By analyzing data from a plurality, and preferably a large number, of operations, a particular objective for a particular plan may be developed for a particular crop. The equipment at a particular site may then monitor the crop and be controlled by a device, such as an on-site hub, to operate equipment in a manner associated with the particular plan and objective.

In order to predict plant stresses at a localized level, data feeds from many sensor types can be fused and analyzed to create a synthetic sensor estimating plant water stress, predicting microclimatic conditions, and performing localized plant disease and pest modeling. To make this affordable, an array of low-cost, lower precision sensors can be used. Sensor fusion is used to improve the accuracy of each sensing element by using machine learning to fuse data from the other sensing elements in the array. Additionally, machine learning can create a “synthetic sensor” replicating the output of high-cost and maintenance intensive sensing devices by using machine learning to replicate their output.

In order to predict plant stresses at a localized level, data feeds from many sensor types can be fused and analyzed to create a synthetic sensor estimating plant water stress, predicting microclimatic conditions, and performing localized plant disease and pest modeling. To make this affordable, an array of low-cost, lower precision sensors can be used. Sensor fusion is used to improve the accuracy of each sensing element by using machine learning to fuse data from the other sensing elements in the array. Additionally, machine learning can create a “synthetic sensor” replicating the output of high-cost and maintenance intensive sensing devices by using machine learning to replicate their output.

Methods and systems for identifying a pay zone in a subterranean formation can include: logging a well extending into the subterranean formation including measuring bulk density, compressional wave travel time and shear wave travel time at different depths in the subterranean formation; calculating elastic attributes including acoustic impedance and compressional velocity-shear velocity ratio at different depths in the subterranean formation; and displaying and analyzing the calculated elastic attributes to identify the low resistivity pay zones.

A soil measure, such as a soil cone index, and a vehicle index indicating the amount of force the vehicle exerts on the ground as it travels over the ground, are obtained and compared to identify a soil damage score. The soil damage score can be mapped over a field and an agricultural vehicle can be controlled based upon the soil damage score.

A soil measure, such as a soil cone index, and a vehicle index indicating the amount of force the vehicle exerts on the ground as it travels over the ground, are obtained and compared to identify a soil damage score. The soil damage score can be mapped over a field and an agricultural vehicle can be controlled based upon the soil damage score.

Provided is a coreflood system that comprises a housing including an inlet end and an outlet end, an inlet positioned at the inlet end, and an outlet positioned at the outlet end. The system includes two chambers positioned within the housing between the inlet and the outlet, configured to retain porous media. The two chambers are in series along a fluid flow pathway through the coreflood system. The system includes a partition extending from an inner surface of the housing between the inlet and the outlet, and a pH sensor provide in a sensor mounting location in the housing having access to the fluid flow pathway. Further provided is a method that comprises directing a fluid into a coreflood system, and using a data processing device coupled to the pH sensor to collect hydrogen ion data and determine hydrogen ion concentration and pH within the fluid.

Provided is a coreflood system that comprises a housing including an inlet end and an outlet end, an inlet positioned at the inlet end, and an outlet positioned at the outlet end. The system includes two chambers positioned within the housing between the inlet and the outlet, configured to retain porous media. The two chambers are in series along a fluid flow pathway through the coreflood system. The system includes a partition extending from an inner surface of the housing between the inlet and the outlet, and a pH sensor provide in a sensor mounting location in the housing having access to the fluid flow pathway. Further provided is a method that comprises directing a fluid into a coreflood system, and using a data processing device coupled to the pH sensor to collect hydrogen ion data and determine hydrogen ion concentration and pH within the fluid.

The present invention discloses a landslide experimental device for remotely controlling and simulating a constant seepage flow and weight load and an experimental method thereof in centrifuge test. The landslide experimental device includes a model box, a landslide device, a near-constant water flow control box, remote control devices and a water outlet pipe. The landslide device comprises a landslide model, a load balancing device, a weight storage device, an angle control panel and a tension bar. The remote control devices are arranged at the control box water outlet, at the control box water inlet, on the tension bar, on telescoping control sensors and on the weight storage device, respectively. With the present invention, the influences on the stability of landslide model with different landslide angles under the condition of the seepage flow and weight load can be simulated.