Oil and Gas Simulation and Modeling Statistics 2023

The oil and gas industry relies heavily on technology to optimize production, reduce costs, and minimize risks. One such technology that has gained popularity in recent years is simulation and modeling software.

This software allows engineers and operators to create virtual representations of oil and gas reservoirs, wells, pipelines, and other production facilities.

By simulating various scenarios, they can make informed decisions about how to improve efficiency, increase output, and mitigate potential hazards.

Key Oil and Gas Simulation and Modeling Statistics – MY Choice

Oil and gas simulation and modeling are critical components of the industry’s exploration and production efforts, helping to optimize production, increase efficiency, and reduce costs.
According to a report by Grand View Research, the global oil and gas simulation and modeling market size was valued at $3.5 billion in 2020 and is expected to grow at a compound annual growth rate (CAGR) of 8.7% from 2021 to 2028.
The growth of the oil and gas simulation and modeling market is being driven by factors such as increasing demand for energy, declining oil reserves, and the need for improved operational efficiency.
Reservoir simulation is a key area of focus for oil and gas simulation and modeling, allowing companies to simulate the behavior of reservoirs and optimize production strategies. According to a report by MarketsandMarkets, the reservoir simulation market is expected to reach $7.5 billion by 2023.
Other areas of focus for oil and gas simulation and modeling include wellbore modeling, flow assurance, and production forecasting.
Advanced computational techniques such as machine learning, artificial intelligence, and big data analytics are increasingly being used in oil and gas simulation and modeling to improve accuracy and efficiency.
The use of simulation and modeling tools has helped oil and gas companies to reduce exploration and production costs by up to 40%.
According to a report by McKinsey, the use of advanced modeling techniques could result in a 10-20% reduction in upstream capital expenditures and a 5-10% reduction in operating expenses.
The oil and gas industry is also exploring the use of digital twins, which are digital replicas of physical assets, to improve operational efficiency and reduce costs.
The use of simulation and modeling tools is expected to become increasingly important as the oil and gas industry faces the challenge of producing more energy while reducing its carbon footprint.

Oil and Gas Simulation and Modeling Stats

Oil and gas simulation and modeling have become essential tools for decision-making in the industry, helping to optimize operations, mitigate risks, and improve performance. Here are some general statistics related to the use of these tools:

The global oil and gas simulation and modeling market was valued at $6.2 billion in 2020 and is expected to reach $10.6 billion by 2027, with a CAGR of 7.8% from 2021 to 2027.
The use of digital technologies in the oil and gas industry can reduce costs by up to 20%, according to a report by the World Economic Forum.
The adoption of artificial intelligence (AI) in the oil and gas industry is expected to generate $2.85 billion in value by 2025, according to a report by MarketsandMarkets.
The global oil and gas simulation and modeling market was valued at $2.45 billion in 2020 and is expected to reach $3.92 billion by 2026, growing at a CAGR of 7.5% during the forecast period (2021-2026). (Source: Mordor Intelligence)
In 2020, the upstream segment of the oil and gas industry accounted for the largest share (approximately 45%) of the overall simulation and modeling market. (Source: Mordor Intelligence)
The adoption of simulation and modeling technology in the oil and gas industry is driven by several factors, including the need to optimize production, reduce costs, improve safety, and minimize environmental impact. (Source: MarketsandMarkets)
The use of simulation and modeling technology can reduce the cost of exploration and production by up to 20%. (Source: McKinsey & Company)
The upstream segment of the oil and gas industry is expected to witness significant growth in the adoption of simulation and modeling technology, driven by the increasing complexity of oil and gas reservoirs and the need for better reservoir management. (Source: Technavio)

Exploration and Production Stats

Exploration and production are critical stages in the oil and gas value chain, where simulation and modeling can help reduce costs and improve operational efficiency. Here are some statistics related to these stages:

The use of seismic surveys for oil and gas exploration has increased by 67% over the past decade, according to a report by GlobalData.
The global oil and gas upstream sector accounted for 68% of the total spending on simulation and modeling in 2020, according to a report by ResearchAndMarkets.
The average success rate for exploration drilling in the oil and gas industry is around 10%, according to a report by EY.
The use of digital twin technology for oil and gas production optimization can reduce operating costs by up to 15%, according to a report by Accenture.

Reservoir Simulation Stats

Reservoir simulation is a critical tool for oil and gas companies, enabling them to predict the behavior of reservoirs and optimize production. Here are some statistics related to reservoir simulation:

The global reservoir simulation market was valued at $7.2 billion in 2020 and is expected to reach $11.5 billion by 2027, with a CAGR of 6.8% from 2021 to 2027, according to a report by Mordor Intelligence.
The use of reservoir simulation can reduce the number of exploration wells needed by up to 50%, according to a report by the Society of Petroleum Engineers.
The average accuracy rate of reservoir simulation is around 85%, according to a report by PetroSkills.
The use of machine learning in reservoir simulation can reduce uncertainty in production forecasts by up to 20%, according to a report by McKinsey & Company.

Oil and Gas Simulation and Modeling Benefits

Simulation and modeling technology can provide accurate and detailed insights into the behavior of oil and gas reservoirs, enabling operators to make informed decisions and optimize production. (Source: IHS Markit)
By using simulation and modeling technology, operators can reduce the time and cost required for field testing and data analysis. (Source: McKinsey & Company)
Simulation and modeling technology can help operators to identify potential risks and mitigate them before they occur, improving safety and reducing downtime. (Source: Dassault Systèmes)
By optimizing production, simulation and modeling technology can help operators to reduce their environmental impact and comply with regulatory requirements. (Source: Schlumberger)
Simulation and modeling technology can improve collaboration and communication between different teams and stakeholders, enabling more efficient decision-making and problem-solving. (Source: PetroSkills)

Oil and Gas Simulation and Modeling Trends

The use of machine learning and artificial intelligence (AI) in simulation and modeling technology is expected to increase, enabling operators to analyze large amounts of data and generate more accurate predictions. (Source: Dassault Systèmes)
The adoption of cloud-based simulation and modeling software is expected to increase, enabling operators to access and share data more easily and securely. (Source: MarketsandMarkets)
The development of digital twins, virtual replicas of physical assets, is expected to become more widespread, enabling operators to optimize production and reduce maintenance costs. (Source: Schlumberger)
The use of simulation and modeling technology in the midstream and downstream segments of the oil and gas industry is expected to increase, driven by the need to optimize transportation, storage, and processing operations. (Source: Technavio)
The adoption of simulation and modeling technology in the oil and gas industry is expected to be influenced by the increasing focus on sustainability and decarbonization. (Source: DNV)

Drilling Simulation Stats

Drilling simulation is a critical tool for oil and gas companies, helping to optimize drilling operations and reduce costs. Here are some statistics related to drilling simulation:

The global drilling simulation market was valued at $1.4 billion in 2020 and is expected to reach $1.9 billion by 2027, with a CAGR of 4.2% from 2021 to 2027, according to a report by Mordor Intelligence.
The use of drilling simulation can reduce drilling time by up to 15%, according to a report by the Society of Petroleum Engineers.

Data Point	Description
20%	Chance of positive verdict in a lawsuit
30%	Chance of negative verdict in a lawsuit
40%	Chance of settlement in a lawsuit
10%	Chance of mistrial in a lawsuit
80%	Proportion of costs dependent on currency exchange rates
30%	Proportion of sales dependent on currency exchange rates
1% per year	Increase in CO2 emissions until CO2 quadruples and reaches 1,120ppm
1% annual increase	Atmospheric CO2 concentrations in CMIP experiments
70%	Proportion of cases where radiation balance at the top of the atmosphere is tuned
95% confidence interval	Uncertainty in the model results
Good job	Models’ ability to reflect short-term natural variability
81%	Executives considering Big Data as a top priority in oil and gas companies for 2018
70%	Participants from U.S. oil and gas companies not familiar with Big Data and its applications in petroleum engineering
90%	Generated data that is unstructured
Improved by 45%	Total non-drilling time