Digitalization, automation and optimization of time-lapse geochemistry (tlg) workflow to optimize development plans for unconventional reservoirs having multiple production zones

A cloud-computing apparatus comprising:

• one or more processors;
• and
• one or more memories storing instructions, component data, and time-series data, wherein
• the component data represents chemical attributes measured for samples from respective production zones of one or more reservoirs, wherein the component data includes oil data, water data, and gas data, and the component data includes respective parts corresponding to measurements of samples,
• the time-series data represents chemical attributes measured at a series of times for productions from a well, and
• the instructions, when executed by the one or more processors, configure the cloud-computing apparatus to:
• associate the respective parts the component data with times and locations at which the samples are collected;
• select, based on the component data, at least one compound ratio or isotope ratio that uniquely identifies from which of the respective production zones a produced fluid originates, thereby enabling an analysis of a mixture of produced fluid originating from the respective production zones that determines production allocations from the respective production zones;
• and
• analyze the time-series data using the at least one compound ratio or isotope ratio to determine production intervals by estimating respective contributions of the productions corresponding to the respective production zones.

A non-transitory computer-readable storage medium including instructions that when executed by a computer, cause the computer to:

• store, at a cloud-computing platform, component data representing chemical attributes measured for samples from respective production zones of one or more reservoirs, wherein the component data includes oil data, water data, and gas data, the component data including respective parts corresponding to measurements of samples;
• associate the respective parts the component data with times and locations at which the samples are collected;
• select, at the cloud-computing platform and based on the component data, at least one compound ratio or isotope ratio that uniquely identifies from which of the respective production zones a produced fluid originates, thereby enabling an analysis of a mixture of produced fluid originating from the respective production zones that determines production allocations from the respective production zones;
• store, at the cloud-computing platform, time-series data representing chemical attributes measured at a series of times for productions from a well;
• and
• analyze, at the cloud-computing platform, the time-series data using the at least one compound ratio or isotope ratio to determine production intervals by estimating respective contributions of the productions corresponding to the respective production zones.