EP-4739883-A1 - SYSTEM AND METHOD FOR AGILE FIELD DEVELOPMENT PLANNING

EP4739883A1EP 4739883 A1EP4739883 A1EP 4739883A1EP-4739883-A1

Abstract

The present disclosure relates to agile field development planning. For this purpose, a computer-implemented method for optimizing reservoir development as well as a corresponding data-processing system (100) for optimizing reservoir development and computer program is disclosed. The data-processing system (100) may comprise one or more of a digital reservoir model reviewer module (200), a reservoir performance advisor module (300) or an artificial intelligence assisted production forecasts module (400).

Inventors

GERGES, Nader
EL SHAMOUTY, Basma
BELAYOUNI, Nidhal
FRANCO, Alba Centeno
AYOUBI, Reda
Gore, Sonal
MABROOK, Maged
AMRI, Mohamed

Assignees

MATRIX JVCO LTD trading as AIQ

Dates

Publication Date: 20260513
Application Date: 20230707

Claims (20)

1. A computer-implemented method for optimizing reservoir development, wherein the method comprises the steps of: evaluating simulation data of a simulation of a development state of a reservoir; generating a report about the development state of the reservoir based on the evaluation; identifying, for a plurality of regions of the reservoir, a development opportunity based at least in part on the report about the development state of the reservoir; and predicting for at least one region of the plurality of regions of the reservoir, a production rate of the corresponding identified development opportunity.
2. The method of the preceding claim, wherein evaluating the simulation data of the simulation of the development state of the reservoir comprises determining a history match quality of the simulation data.
3. The method of the preceding claim, wherein determining the history match quality comprises: identifying inconsistencies between the simulation data of the development state of the reservoir and historical data of the development state of the reservoir.
4. The method of any one of the preceding claims, wherein evaluating the simulation data of the development state of the reservoir comprises: extracting reservoir-specific information from the simulation data.
5. The method of the preceding claim wherein the reservoir-specific information comprises one or more of: special core analysis, SCAL, curves; vertical flow profiling, VFP, curves; well connection information; skin factor values; and fault transmissibility of the simulation.
6. The method of any one of the preceding claims, wherein evaluating the simulation data of the simulation of the development state of the reservoir comprises: generating 3D reservoir data of the reservoir.
7. The method of the preceding claim, wherein generating the 3D reservoir data comprises: assessing information about measurement logs of the reservoir; extracting measurement information from the simulation data; and comparing the information about the measurement logs with the extracted measurement information from the simulation data.
8. The method of the preceding claim, wherein the measurement logs of the reservoir comprise historical pressure logs of the reservoir and wherein the extracted measurement information from the simulation data comprises simulation pressure logs; and wherein comparing comprises: calculating a difference between the historical pressure logs and simulation pressure logs.
9. The method of any one of the preceding claims, wherein identifying the development opportunity for the plurality of regions of the reservoir comprises: classifying each well of a plurality of wells into a production rate class, and wherein each well of the plurality of wells is associated with one region of the plurality of regions of the reservoir and wherein identifying the development opportunity is at least based on the production rate class.
10. The method of the preceding claim, wherein classifying a well into a production rate class comprises: calculating a first production estimation, a second production estimation and a third production estimation; and determining the production rate class based on the first, the second and the third production estimation.
11. The method of any one of the preceding claims, wherein identifying the development opportunity for the plurality of regions of the reservoir comprises: clustering the plurality of wells according to a dynamic indicator, wherein each well is associated with a dynamic indicator, and wherein the dynamic indicator represents a ratio between a gas-oil ratio (GOR) of the well and/or a water-oil ratio (WOR) of the well and a cumulative oil production (NP) of the plurality of wells of the reservoir, and wherein identifying the development opportunity is based at least on the clustering.
12. The method of any one of the preceding claims, wherein identifying the development opportunity for the plurality of regions of the reservoir comprises: identifying one or more outlier wells within the plurality of wells, and wherein identifying the development opportunity is based at least on the identified one or more outlier wells.
13. The method of the preceding claim, wherein identifying the one or more outlier wells comprises: determining that a production rate of the one or more outlier wells differs from production rates of other wells within the plurality of wells.
14. The method of the preceding claim, wherein the production rate of the one or more outlier wells is either lower or higher than the production rates of the other wells within the plurality of wells.
15. The method of any one of the preceding claims, wherein identifying the development opportunity for the plurality of regions of the reservoir comprises: determining a dominant production mechanism used at the plurality of wells, and wherein identifying the development opportunity is based at least on the dominant production mechanism.
16. The method of the preceding claim, wherein the dominant production mechanism is one of: water channeling, coning or normal displacement.
17- The method of any one of the preceding claims, wherein identifying the development opportunity for the plurality of regions of the reservoir comprises: selecting a subset of the plurality of regions, wherein at each region of the subset of the plurality of regions no well is present; and determining, for each region of the subset of regions of the reservoir, an opportunity index indicating a development success of the region.
18. The method of any one of the preceding claims, wherein predicting the production rate of the identified development opportunity for the region of the reservoir comprises: determining that a well is already present at the region of the reservoir; and predicting the production rate of the identified development opportunity for the region of the reservoir using a model trained on historical production rate data of the well.
19. The method of any one of the preceding claims, wherein predicting the production rate of the identified development opportunity for the region of the reservoir comprises: determining that no well is present at the region of the reservoir; identifying a region similar to the region for which the development opportunity was identified, and wherein a well is present at the region similar to the region for which the development opportunity was identified; predicting a production rate for the similar region using a model trained on historical production rate data of the well; and determining the production rate of the identified development opportunity for the region at least based on the predicted production rate.
20. The method of any one of the preceding claims, wherein the method further comprises: determining for the identified development opportunity for the region of the reservoir an operation instruction for realizing the development opportunity; and wherein the operation instruction comprises at least one of: construction of a new well; an inspection of an existing well; a repair instruction of an existing well; an inspection of a location being a candidate for a construction of a new well; a re-evaluation of a production mechanism, preferably a water injection pattern; or any combination thereof.

Description

SYSTEM AND METHOD FOR AGILE FIELD DEVELOPMENT PLANNING Field of the invention The present invention relates to a computer-implemented method for optimizing reservoir development as well as a corresponding data processing device, a data processing system and computer program. Background The common practices used to assess reservoir model simulations and identify opportunities for improving production are time-consuming, labor-intensive, and not scalable. Manual calculations and different vendor technologies may be used, leading to silos and integration losses. Manual practices are prone to human error, resulting in inaccurate planning and prediction practices that can result in suboptimal performance. Given the complexity and constant change of reservoirs, frequent analysis is important, but manual analysis is often performed less frequently, leading to outdated results and unexpected impacts. With the technological progress of recent years, novel data-driven and automated approaches have been developed trying to solve these issues. WO 2018/152147 Al discloses a well performance classification approach using artificial intelligence and pattern recognition based on which a decision about drilling a new well into a producing reservoir or adjusting fluid flows in an existing well can be made. However, the known approaches fail to provide a comprehensive solution providing an automated and structured assessment of reservoir states and identifying potential development opportunities. Against this background, there is a need for systems and methods to further optimizing the development of reservoirs that allow for an agile field development planning (AFDP). Summary The above-mentioned problem is at least partly solved by a computer-implemented method, a data-processing device and a computer program according to aspects of the present disclosure. Aspects of the present disclosure are set out in the accompanying independent and dependent claims. Combinations of features from the dependent claims maybe combined with features of the independent claims as appropriate and not merely as explicitly set out in the claims. An aspect of the present disclosure relates to a computer-implemented method for optimizing reservoir development. The method may comprise one or more of the following steps. Evaluating simulation data of a simulation of a development state of a reservoir. Generating a report about the development state of the reservoir based on the evaluation. Identifying, for a plurality of regions of the reservoir, a development opportunity based at least in part on the report about the development state of the reservoir. Predicting for at least one region of the plurality of regions of the reservoir, a production rate of the corresponding identified development opportunity. While simulations of reservoir states are necessary to get insights about general reservoir characteristics based on which development opportunities can be identified, simulations - especially when data-driven- are highly depending on factors such as data quality. By evaluating the simulation data and generating a corresponding report based on the evaluation, the reliability of identifying development opportunities is increased, because these are no longer based on potentially wrong or inaccurate simulation data. In a further aspect, evaluating the simulation data of the simulation of the development state of the reservoir may comprise determining a history match quality of the simulation data. The history match quality of the simulation data may indicate an accuracy of the simulation with respect to reproducing the past reservoir behavior. If the history match quality is high, chances of the simulation of future reservoir states being accurate are high and may thus be used for identifying reliable development opportunities. In a further aspect, determining the history match quality may comprise identifying inconsistencies between the simulation data of the development state of the reservoir and historical data of the development state of the reservoir. The extent of the identified inconsistencies serves an indication of whether the simulation provides accurate and resilient data. In a further aspect, evaluating the simulation data of the simulation of the development state of the reservoir may comprise extracting reservoir-specific information from the simulation data. In a further aspect, the reservoir-specific information may comprise one or more of: special core analysis (SCAL) curves, vertical flow profiling (VFP) curves, well connection information, skin factor values, and/or fault transmissibility of the simulation. The reservoir specific information from the simulation data allows to assess whether the data used for building the simulation is realistic and appropriate for representing the state of the reservoir. In a further aspect, evaluating the simulation data of the simulation of the development state of the reservoir may comprise