Application of depth derivative of distributed temperature survey (DTS) to identify fluid flow activities in or near a wellbore during the production process

1. A method comprising:

a. gathering temperature data from a distributed temperature sensing measurement system through a production region as a function of a depth in a wellbore and as a function of elapsed time;

b. calculating, from the gathered temperature data, depth derivative data of temperature changes as a function of depth in the wellbore and of the elapsed time;

c. displaying the depth derivative data for analysis of fluid levels to identify at least one of fluid levels, gas production intervals, water production intervals, and other fluid flow activities inside or near the wellbore during a production process;

d. gathering acoustic measurement data from a distributed acoustic sensing system as a function of the depth in the wellbore and as a function of the elapsed time; and

e. using the acoustic measurement data in conjunction with the depth derivative data to further identify and validate fluid levels, gas production intervals, water production intervals, and other fluid flow activities inside or near the wellbore during the production process.

2. The method of claim 1 , wherein numerical values of the depth derivative data are recorded and displayed.

3. The method of claim 1 , wherein the depth derivative data is displayed in colors as a function of depth and time.

4. The method of claim 1 , wherein the depth derivative data is displayed in black/white as a function of depth and time.

5. The method of claim 1 , wherein the depth derivative data is displayed in grey scale as a function of depth and time.

6. The method of claim 1 , further comprising:

g. displaying the acoustic measurement data for analysis of fluid levels as a tool of downhole pressure control by operators.

7. A method comprising:

a. providing a fiber optic based distributed temperature sensing measurement system through a production region surrounding a wellbore;

b. gathering temperature data through the production region as a function of a depth in the wellbore and as a function of elapsed time;

c. calculating from the gathered temperature data a depth derivative of temperature changes as a function of depth in the wellbore and of the elapsed time;

d. generating a distributed temperature sensing (DTS) matrix of [m×n] wherein m a number of samples collected in a depth scale and n is a number of samples collected in a time scale;

e. for each column of the DTS matrix calculating a derivative of temperature as a function of depth and storing it in a new matrix with dimensions [m−2×n];

f. displaying the derivative matrix with one axis as time and another axis as depth and color coding a value of the temperature derivative;

g. adjusting a color scheme until one or more persistent horizontal boundaries is found through a production time period with distinct color from adjacent zones; and

h. displaying depth derivative data to identify at least one of fluid levels, gas production intervals, water production intervals, and other fluid flow activities inside or near the wellbore during a production process.

8. The method of claim 7 , further comprising displaying the depth derivative data in colors as a function of depth and time.

9. The method of claim 7 , further comprising displaying the depth derivative data in black/white as a function of depth and time.

10. The method of claim 7 , further comprising recording numerical values of the depth derivative data.

11. The method of claim 7 , further comprising displaying the depth derivative data in grey scale as a function of depth and time.

12. A method comprising:

a. gathering temperature data through a production region from a distributed temperature sensing measurement system as a function of depth in a wellbore and as a function of elapsed time;

b. calculating from the gathered temperature data depth derivative data of temperature changes as a function of depth in the wellbore and of the elapsed time;

c. displaying the depth derivative data for analysis of fluid levels to identify at least one of fluid levels, gas production intervals, water production intervals, and other fluid flow activities inside or near the wellbore during a production process;

d. calculating a variance of a depth derivative of distributed temperature sensing (DTS) data to find a boundary between high and low noise signals, and thereby generate a boundary fluid level profile in time that can be displayed and used to identify at least one of fluid levels, gas production intervals, water production intervals, and other fluid flow activities inside or near the wellbore during a production process;

e. gathering acoustic measurement data from a distributed acoustic sensing system as a function of the depth in the wellbore and as a function of the elapsed time;

f. displaying the acoustic measurement data; and

g. using the acoustic measurement data in conjunction with the depth derivative data to further identify at least one of fluid levels, gas production intervals, water production intervals, and other fluid flow activities inside or near the wellbore during the production process.