The present disclosure relates to a method for selecting a photosensitive resin composition, the method including: exposing a resin film of a photosensitive resin composition at 100 to 2000 mJ/cm.sup.2 and heat-treating the resin film at 150° C. to 250° C. for 1 to 3 hours under nitrogen to produce a strip sample of a cured film having a film thickness of 10 μm and a width of 10 mm; performing a fatigue test of repeatedly pulling the strip sample under condition (1) in which the set temperature is 25° C., the distance between chucks is 20 mm, the testing rate is 5 mm/min, and the cyclic load stress is 100 MPa, or under condition (2) in which the set temperature is −55° C., the distance between chucks is 20 mm, the testing rate is 5 mm/min, and the cyclic load stress is 120 MPa; and selecting a photosensitive resin composition satisfying the following condition: the number of times of pulling required until the strip sample breaks in the fatigue test is 100 or more cycles.

A method of determining a minimum wall thickness for a pipe joint for use in a subsea pipeline comprises the steps of: i) determining an internal diameter of the pipe joint; ii) determining a minimum allowable hydrostatic pressure at the depth at which the pipe joint is to be used; iii) determining a target wall thickness for the pipe joint, the target wall thickness corresponding to the internal diameter and the minimum allowable hydrostatic pressure; iv) manufacturing a plurality of preliminary pipe joints having the internal diameter and the target wall thickness; v) carrying out external pressure collapse tests resulting in data representative of the hydrostatic collapse pressures at which the plurality of preliminary pipe joints collapse; vi) determining a probability distribution corresponding to the data based on a statistical tail model derived from Extreme Value Theory; vii) determining from the probability distribution a hydrostatic collapse pressure occurring with a probability of 10.sup.−5 or lower; and, viii) determining a wall thickness of the pipe joint corresponding to the internal diameter and the hydrostatic collapse pressure.

A dynamic crack leaking stoppage evaluation experiment device includes a crack simulation experiment instrument having a dynamic crack simulation mechanism. The dynamic crack leaking stoppage evaluation experiment device can simulate a dynamic change process of a crack from a closed state to an open state. An experiment method can be applied to study a variation range of the width of the crack that have been subjected to self-adaptive leaking stoppage with various combinations of leaking stoppage materials and under different increments, and the method can also be applied to quantitatively study on effecting patterns of rheological parameters and hydraulic parameters of well drilling fluid on stability of a leaking stoppage layer in the dynamic crack, so that enabled is not only simulation of leaking stoppage process of a dynamic crack, but also real-time monitoring and evaluation on leaking stoppage effect and leaking stoppage location inside the dynamic crack.

There are disclosed a measuring apparatus and method for measuring the pull-off force of a frangible arrangement connecting a capsule with a tamper evident band of closed annular shape, with an annular ridge that axially retains the tamper evident band, a pusher device that pushes the capsule so as to cause the breakage of the frangible arrangement, a sensor arrangement to detect the tensile force applied by the pusher device, and a lifting and abutting device arranged for supply the capsule to the annular ridge. There are further disclosed a band disengagement arrangement for disengaging the tamper evident band from the annular ridge after the breakage of the frangible arrangement, yet maintaining intact the closed annular shape of the tamper evident band.

A steel pipe collapse strength prediction model generation method, a steel pipe collapse strength prediction method, a steel pipe manufacturing characteristics determination method, and a steel pipe manufacturing method capable of highly accurately predicting the collapse strength of a steel pipe after forming or a coated steel pipe in consideration of the pipe-making strain during forming. Into a steel pipe collapse strength prediction model generated by the prediction model generation method, steel pipe manufacturing characteristics including the shape of a steel pipe to be predicted after forming, strength characteristics, and the pipe-making strain are input to predict the collapse strength after forming. Into a steel pipe collapse strength prediction model, steel pipe manufacturing characteristics including the shape of a coated steel pipe to be predicted after forming, strength characteristics, the pipe-making strain, and coating conditions are input to predict the collapse strength of the coated steel pipe.

A rock sample is nano-indented from a surface of the rock sample to a specified depth less than a thickness of the rock sample. While nano-indenting, multiple depths from the surface to the specified depth and multiple loads applied to the sample are measured. From the multiple loads and the multiple depths, a change in load over a specified depth is determined, using which an energy associated with nano-indenting rock sample is determined. From a Scanning Electron Microscope (SEM) image of the nano-indented rock sample, an indentation volume is determined responsive to nano-indenting, and, using the volume, an energy density is determined. It is determined that the energy density associated with the rock sample is substantially equal to energy density of a portion of a subterranean zone in a hydrocarbon reservoir. In response, the physical properties of the rock sample are assigned to the portion of the subterranean zone.

A new vibration test-cell that allows a static load to be applied simultaneously with lateral vibration coupled with in-situ microscopy that allows for the ability to open a fatigue crack up to a desired gap, as well as generate acoustic emission (AE) from vibration excitation, micro-fracture events are captured by the AE measurement while the physical observation of the crack faying surfaces is performed in-situ with an optical microscope embedded in the test cell.

A glass strength evaluation apparatus includes a support unit, a plate disposed on the support unit and including a surface on which a glass article, which is a target to be tested, is disposed, a fixing jig disposed on the plate and a power unit lifting up or down the fixing jig in a vertical direction toward the surface of the plate. The fixing jig includes a body portion, which extends in the vertical direction and lower fixing bolts. A press-fitting member insertion opening is recessed from a bottom of the body portion to extend in an upward direction, lower fixing bolt insertion holes penetrate the body portion, from one side of the body portion, in a first horizontal direction intersecting the vertical direction, to be extended to the press-fitting insertion opening, and lower fixing bolts are coupled into the lower fixing bolt insertion holes.

A method of evaluating fluid sensitivity of a water-based muds on a shale rock. The method includes providing a sample of the shale rock from a portion of a formation, where the portion of the formation is positioned outside of a reservoir region. The sample of the shale rock is separated into a first portion and a second portion. The first portion is subjected to a UCS test for detecting a first uniaxial compressive strength (UCS) value (UCS.sub.o). The second portion is converted into a prepared sample utilizing a test preparation procedure. The prepared sample is subjected to the UCS test for detecting a second UCS value (UCS.sub.1). A fluid sensitivity index (FSI) is determined utilizing the detected UCS.sub.0 and USC.sub.1 values.

Disclosed are an anisotropic mechanical expansion (anisotropic Poisson's ratio) substrate and a crack-based pressure sensor using the same. The substrate having an anisotropic Poisson's ratio includes a first layer having linear concave and convex patterns arranged in parallel to each other on a surface thereof; and a second layer having linear convex and concave patterns respectively engaged with the linear concave and convex patterns of the first layer on a surface thereof, wherein the first layer and the second layer are stacked with each other so that the linear convex and concave patterns of the second layer are respectively engaged with the linear concave and convex patterns of the first layer, wherein an elastic modulus of the first layer is different from an elastic modulus of the second layer.