A pressure cell for sum frequency generation spectroscopy includes: a metal pressure chamber; a heating stage that heats a liquid sample; an ultrasonic stage that emulsifies the liquid sample; a chamber pump that pressurizes an interior of the metal pressure chamber; and a controller that controls the chamber pump, the ultrasonic stage, and the heating stage to control a pressure of the interior of the metal pressure chamber, an emulsification of the liquid sample, and a temperature of the liquid sample, respectively. The metal pressure chamber includes: a liquid sample holder that retains the liquid sample; a removable lid that seals against a base; a window in the removable lid; a sample inlet that flows the liquid sample from an exterior of the metal pressure chamber to the liquid sample holder at a predetermined flow rate; and a sample outlet.

A pressure cell for sum frequency generation spectroscopy includes: a metal pressure chamber; a heating stage that heats a liquid sample; an ultrasonic stage that emulsifies the liquid sample; a chamber pump that pressurizes an interior of the metal pressure chamber; and a controller that controls the chamber pump, the ultrasonic stage, and the heating stage to control a pressure of the interior of the metal pressure chamber, an emulsification of the liquid sample, and a temperature of the liquid sample, respectively. The metal pressure chamber includes: a liquid sample holder that retains the liquid sample; a removable lid that seals against a base; a window in the removable lid; a sample inlet that flows the liquid sample from an exterior of the metal pressure chamber to the liquid sample holder at a predetermined flow rate; and a sample outlet.

The present invention discloses a three-dimensional in-situ characterization method for heterogeneity in generating and reserving performances of shale. The method includes the following steps: establishing a logging in-situ interpretation model of generating and reserving parameters based on lithofacies-lithofacies-well coupling, and completing single-well interpretation; establishing a 3D seismic in-situ interpretation model of generating and reserving parameters by using well-seismic coupling; establishing a spatial in-situ framework of a layer group based on lithofacies-well-seismic coupling, and establishing a spatial distribution trend framework of small layers of a shale formation by using 3D visualized comparison of a vertical well; and implementing 3D in-situ accurate characterization of shale generating and reserving performance parameters by using lithofacies-well-seismic coupling based on the establishment of the seismic-lithofacies dual-control parameter field. The present invention integrates an in-situ technology into shale logging, seismic generating and reserving parameter interpretation, and the establishment of a 3D mesh model of small layers of shale, which realizes the accurate description of the heterogeneity in TOC content and porosity value of shale oil and gas in a 3D space, and provides a reliable technical support for shale oil and gas exploration and development.

A pressure cell for sum frequency generation spectroscopy includes: a metal pressure chamber; a heating stage that heats a liquid sample; an ultrasonic stage that emulsifies the liquid sample; a chamber pump that pressurizes an interior of the metal pressure chamber; and a controller that controls the chamber pump, the ultrasonic stage, and the heating stage to control a pressure of the interior of the metal pressure chamber, an emulsification of the liquid sample, and a temperature of the liquid sample, respectively. The metal pressure chamber includes: a liquid sample holder that retains the liquid sample; a removable lid that seals against a base; a window in the removable lid; a sample inlet that flows the liquid sample from an exterior of the metal pressure chamber to the liquid sample holder at a predetermined flow rate; and a sample outlet.

A system may include persistent storage containing training data related to well production, wherein entries in the training data respectively include time-independent input feature values and time-dependent input feature values both mapped to ground-truth production values of corresponding wells at particular points in time, wherein the time-dependent input feature values include ground-truth production values of the corresponding wells at respectively earlier points in time. The system may also include one or more processors configured to: train a decision-tree-based model with the training data; provide, to the decision-tree-based model, new time-independent input feature values and new time-dependent input feature values for a well; and receive, from the decision-tree-based model, one or more predicted production values of the well, wherein the one or more predicted production values are generated by the decision-tree-based model based on its internal structure, the new time-independent input feature values, and the new time-dependent input feature values.

A pressure cell for sum frequency generation spectroscopy includes: a metal pressure chamber; a heating stage that heats a liquid sample; an ultrasonic stage that emulsifies the liquid sample; a chamber pump that pressurizes an interior of the metal pressure chamber; and a controller that controls the chamber pump, the ultrasonic stage, and the heating stage to control a pressure of the interior of the metal pressure chamber, an emulsification of the liquid sample, and a temperature of the liquid sample, respectively. The metal pressure chamber includes: a liquid sample holder that retains the liquid sample; a removable lid that seals against a base; a window in the removable lid; a sample inlet that flows the liquid sample from an exterior of the metal pressure chamber to the liquid sample holder at a predetermined flow rate; and a sample outlet.

The invention discloses a calculation method for dynamic fluid loss of acid-etched fracture considering wormhole propagation, which is applied to pad acid fracturing process, comprising the following steps: Step 1: dividing the construction time T of injecting acid fluid into artificial fracture into m time nodes at equal intervals, then the time step .sub.t=T/m and t.sub.n=nt, where, n=0, 1, 2, 3, . . . , m, and to is the initial time; Step 2: calculating the fluid loss velocity v.sub.l(0) in the fracture at t.sub.0; Step 3: calculating the flowing pressure distribution P(n) in the fracture at t.sub.n; Step 4: calculating the width w.sub.a(n) of acid-etched fracture at t.sub.n; Step 5: calculating the wormhole propagation and the fluid loss velocity v.sub.l(n) at t.sub.n; Step 6: substituting the fluid loss velocity v.sub.l(n) into Step 3, and repeating Step 3 to Step 6 in turn until the end of acid fluid injection.