Abstract: Techniques to determine wellbore leak crossflow rate between formations in an injection well are described. The techniques repurpose well performance principles to achieve the objective of cross flow rate quantification without the need to run a flowmeter.

Abstract: The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for predicting casing leaks. One computer-implemented method includes obtaining raw electromagnetic (EM) corrosion data for a hotspot, wherein the raw EM corrosion data includes a metal thickness loss value for the hotspot; determining a corrosion parameter based on the raw EM corrosion data; generating a probability distribution curve for the corrosion parameter; generating a corrosion severity classification matrix based on the probability distribution curve, wherein the corrosion severity classification matrix includes a plurality of corrosion severity classes and cutoff values for each of the plurality of corrosion severity classes; and assigning the hotspot into one of the plurality of corrosion severity classes based on the corrosion severity classification matrix and the corrosion parameter of the hotspot.

Abstract: The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for predicting casing leaks. One computer-implemented method includes obtaining raw electromagnetic (EM) corrosion data for a hotspot, wherein the raw EM corrosion data includes a metal thickness loss value for the hotspot; determining a corrosion parameter based on the raw EM corrosion data; generating a probability distribution curve for the corrosion parameter; generating a corrosion severity classification matrix based on the probability distribution curve, wherein the corrosion severity classification matrix includes a plurality of corrosion severity classes and cutoff values for each of the plurality of corrosion severity classes; and assigning the hotspot into one of the plurality of corrosion severity classes based on the corrosion severity classification matrix and the corrosion parameter of the hotspot.

Abstract: Techniques to determine wellbore leak crossflow rate between formations in an injection well are described. The techniques repurpose well performance principles to achieve the objective of cross flow rate quantification without the need to run a flowmeter.

Abstract: The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for predicting casing leaks. One computer-implemented method includes obtaining raw electromagnetic (EM) corrosion data for a hotspot, wherein the raw EM corrosion data includes a metal thickness loss value for the hotspot; determining a corrosion parameter based on the raw EM corrosion data; generating a probability distribution curve for the corrosion parameter; generating a corrosion severity classification matrix based on the probability distribution curve, wherein the corrosion severity classification matrix includes a plurality of corrosion severity classes and cutoff values for each of the plurality of corrosion severity classes; and assigning the hotspot into one of the plurality of corrosion severity classes based on the corrosion severity classification matrix and the corrosion parameter of the hotspot.

Abstract: The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for predicting casing leaks. One computer-implemented method includes obtaining raw electromagnetic (EM) corrosion data for a hotspot, wherein the raw EM corrosion data includes a metal thickness loss value for the hotspot; determining a corrosion parameter based on the raw EM corrosion data; generating a probability distribution curve for the corrosion parameter; generating a corrosion severity classification matrix based on the probability distribution curve, wherein the corrosion severity classification matrix includes a plurality of corrosion severity classes and cutoff values for each of the plurality of corrosion severity classes; and assigning the hotspot into one of the plurality of corrosion severity classes based on the corrosion severity classification matrix and the corrosion parameter of the hotspot.

Abstract: The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for predicting casing leaks. One computer-implemented method includes obtaining raw electromagnetic (EM) corrosion data for a hotspot, wherein the raw EM corrosion data includes a metal thickness loss value for the hotspot; determining a corrosion parameter based on the raw EM corrosion data; generating a probability distribution curve for the corrosion parameter; generating a corrosion severity classification matrix based on the probability distribution curve, wherein the corrosion severity classification matrix includes a plurality of corrosion severity classes and cutoff values for each of the plurality of corrosion severity classes; and assigning the hotspot into one of the plurality of corrosion severity classes based on the corrosion severity classification matrix and the corrosion parameter of the hotspot.

Abstract: An initial value is set for an apparent molecular weight. Iterating occurs on calculations to determine a converged value for the apparent molecular weight, including the following. A specific gas gravity is determined. Pseudo-critical gas properties are determined. A pseudo-reduced gas pressure and temperature are determined. A gas deviation factor is determined using the pseudo-reduced gas properties. An average pressure, an average temperate, and a pressure gradient are determined for each depth interval. A new apparent molecular weight is determined. The absolute value of a relative error between a current value of the apparent molecular weight and the new apparent molecular weight is determined. If the absolute value of the relative error has converged to a constant, the iterating is terminated.

Abstract: A wellbore is divided into a plurality of depth intervals. For each depth interval of the plurality of depth intervals, a specific gas gravity, pseudo-critical gas properties, a pseudo-reduced gas pressure and temperature, a gas deviation factor, and a gas gradient and a bottom node pressure are determined. The determined bottom node pressure is used as a static bottomhole pressure.

Abstract: Gas pressure gradient data of a reservoir interval is received. A gas mixture molecular weight is initialized. A gas deviation factor of the reservoir interval is iteratively calculated by a computer. The iterative calculation includes calculating a first gas deviation factor using a gas specific gravity based on the gas mixture molecular weight, calculating a second gas deviation factor based on the gas mixture molecular weight and the gas pressure gradient data, calculating a difference indicator indicating difference between the first and the second gas deviation factor, updating the gas mixture molecular weight based on the difference indicator, re-calculating the first and the second gas deviation factor and the difference indicator based on the updated gas mixture molecular weight, and outputting the gas deviation factor when the difference indicator is smaller than a pre-determined threshold.

Abstract: The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for predicting casing leaks. One computer-implemented method includes obtaining raw electromagnetic (EM) corrosion data for a hotspot, wherein the raw EM corrosion data includes a metal thickness loss value for the hotspot; determining a corrosion parameter based on the raw EM corrosion data; generating a probability distribution curve for the corrosion parameter; generating a corrosion severity classification matrix based on the probability distribution curve, wherein the corrosion severity classification matrix includes a plurality of corrosion severity classes and cutoff values for each of the plurality of corrosion severity classes; and assigning the hotspot into one of the plurality of corrosion severity classes based on the corrosion severity classification matrix and the corrosion parameter of the hotspot.