Stay connected to the science, technology and digital innovations driving E&P forward today. Watch and listen online as a diverse group of experts and thought leaders share ideas on putting emerging technologies to work, increasing collaboration, and driving sustainable business value.
Upcoming webinar topics are listed below. Register today!
UPCOMING AND ON-DEMAND WEBINARS
September 1, 2022 | 12:00 p.m. - 1:00 p.m. UAE (UTC+04:00)
The COVID-19 pandemic clearly revealed the role of technology in helping the world deal with unforeseen challenges and made it evident that digitally mature E&P companies could be more efficient and resilient when it comes to navigating volatile markets.
CO2 can be stored in several ways, and the capacity and complexity of storage differs with each option. Options include storage in depleted oil and gas fields, utilization of CO2 in enhanced oil and gas recovery, utilization of CO2 in enhanced coal bed methane recovery and storage of CO2 in saline basin formations. The last of these options provides the largest potential storage volume of CO2.
The energy transition is dependent on the reliable supply of minerals such as copper, cobalt, lithium etc. However, it is becoming increasingly difficult to find large tonnage and high-grade deposits of these critical minerals at or near the surface. Mining companies seeking to expand their portfolios will therefore need to look deeper and beyond the known occurrences to meet the surging demand.
A rock property prediction using seismic data is an important task in any oil and gas workflow. With the advent of Deep Learning (DL) approaches, it became possible to find patterns in seismic data. This empowered geoscientists to predict rock properties with high levels of confidence. The fundamental objective of the Deep Learning Seismic Inversion solution is to help speedup this key workflow while assisting in ensuring higher accuracy.
Halliburton and Honeywell have teamed up the best of their technologies, people and process to fundamentally transform hydrocarbon recovery and asset performance by creating a true surface/subsurface digital twin that comprehensively integrates the entire value chain from reservoir to point of sale.
3D reservoir models are now mainstream tools for forecasting both production and injection (storage) projects. Despite this, many models still disappoint, and we maintain a systematic tendency towards optimistic forecasts. There are ‘good models’ and ‘bad models’ and it is argued that the difference rests primarily on the choice of workflows: the central issue of model design.
This distinguished lecture discusses the latest innovations revolving around petroleum systems elements prediction and characterization using integrated 3D ‘Hybrid’ stratigraphic modelling applications and sensitivity analysis. As various challenges arise along the hydrocarbon E&P chain, we demonstrate the value of multi-disciplinary assessment of sedimentary systems
Earth modeling involves generating 2D, or most often 3D digital representations of subsurface properties. Models of depositional facies, lithofacies, porosity, permeability and water saturation are typically built during hydrocarbon reservoir studies. These models can be used to estimate hydrocarbon volumes in place and can be sent to a flow simulator to forecast hydrocarbon production, and make important decisions about reserves booking, field development plans, or well drilling locations.
Access to up-to-date information and data is a challenge many companies and industries face. By utilizing geoanalytics, we have taken the delivery of geoscience data and insights beyond simple static maps, charts and downloads. Geoscientists can now connect and visualize data, problem-solve, and generate ideas in real-time to fast-track insight generation and knowledge sharing.
This webinar will introduce you to Landmark’s DecisionSpace® 365 Digital Field Solver® (DFS), an innovative solution that enables the creation of digital oilfields by integrating dynamic data with multi-disciplinary models via automated workflows.
The Jurassic stratigraphy of the Middle East includes some of the world’s most economically significant petroleum systems, containing multiple world-class sources, reservoir and seal packages. Yet, when viewed regionally, these depositional systems are still not fully understood. This leads to inconsistencies in lithostratigraphic nomenclature across international boundaries and misconceptions in the stratigraphic architecture, which ultimately limits exploration and production success.
Artificial Intelligence (AI) and Machine Learning (ML) provide powerful benefits and efficiencies across the entire oil and gas value chain in this dynamic energy landscape. The key to unlocking the benefits of AI lies in data. However, most companies have struggled to transform the deluge of data that exists across E&P lifecycles into production ready AI models, and therefore actual business value.
Analyzing all possible scenarios using historical data collected from multiple E&P domains (geology and geophysics, well construction, production, and reservoir) to decide well position can be very challenging without the appropriate analytical tools to process information. This scenario will lead to planners spending more time with data treatment rather than decision making.
The South Atlantic played a key role in the formulation of plate tectonic theory, and plate modelling has come a long way since the very first computer-assisted reconstructions of this ocean basin in the 1960s. The region remains an active area of exploration interest as well as an excellent case study to discuss the past, present and future of plate modelling.
Trajectory planning is one of the first steps in any preliminary well design life cycle. For a long time, this was mainly done by directional drilling companies using isolated methodologies without any sub-surface integration.
The interpretation of faults in seismic data is a critical component of hydrocarbon exploration and development workflows. However, the traditional methods of interpreting faults (typically the manual interpretation of faults sticks) is labor-intensive and expensive. As a result, technologies for assisting, or automating fault interpretation have become increasingly desired.
During well construction, every activity is carefully recorded by the onboard crew, and this produces a large amount of textual descriptions in the daily rig reports. Later, these descriptions can be used to detect and calculate Invisible Lost Time for specific rig activities.
Traditional structural modeling of complex geologic settings with multi-z surface data, causes you to compromise between honoring your data and resolving your topology. This makes it challenging to build a structural model that accurately represents your subsurface understanding.
The purpose of an interpreter’s domain conversion velocity model is to accurately map geophysical time-based seismic data to geological depth-based well data. The challenge for domain conversion is that velocity solutions are non-unique and velocity models of the earth are oversimplified.
In this 60-minute session, our experts will showcase how to better evaluate the value of drilling Multilaterals (MLT) in your field including assessment of various advanced completion designs (AICD/ICD) using multiple simulation solutions (Nexus® & NETool® Software) to ensure maximum recovery from your asset.
A metadata, simply put, is data about data. Essentially, these are meticulously catalogued information across various domains that are categorized based on keyword and subject. The practice of metadata management is responsible for upholding a system of records of information kept in check in each enterprise data lake.
The traditional seismic interpretation method uses many single-z horizons to represent complex multi-z structures like reverse and thrust faults, overturned beds, and salt bodies. This approach requires frequent switching between these horizons which leads to an excessive number of mouse clicks and interpretation errors.
Carbon Capture and Storage (CCS) is the process of capturing Carbon dioxide (CO2) formed during power generation and industrial processes and storing it to prevent its emission into the atmosphere. CCS technologies have significant potential to reduce CO2 emissions in energy systems.
The demand for hydrocarbons remains high, but to meet demand while other forms of energy supply evolve, we must become more efficient and effective at characterizing the subsurface to replace reserves and improve recovery to close the gap between production targets and actuals.
Domain conversion of seismic data using a well-calibrated velocity model is currently the most common method for estimating subsurface depth during exploration. However, this method entails multiple, time-intensive steps that are user expertise dependent to ensure accurate results.
In this webinar, we will discuss the well planning strategy in a basin that had complex intra-basin fault systems with rapid lateral stratigraphic change. The complex geological setting resulted in highly compartmentalized petroleum fields, where the highest hydrocarbon pays were along the fault.
The Rate of Penetration (ROP) is a key criteria for achieving an efficient and productive drilling operation. The ideal ROP depends on multiple geological and operational factors and variables, and this presents a challenging scenario for engineers.
In the U.S., the Permian Basin epitomizes the “super basin” concept. It has a long and successful history of conventional hydrocarbon exploration, and has been rejuvenated over the last decade as operators have shifted their focus to developing the basin’s vast unconventional resource potential.
The pre-stack data contains a lot of information about fluid types and rock properties. Analysis of unstacked gathers in a DSG environment will provide a wealth of information about fluids, anisotropy, and data quality. The review presents a set of traditional and innovative methods and tools for analyzing pre-stack data, including AVO/AVA (amplitude versus offset/amplitude versus angle), anisotropy/fracture, inversions, and others.
One of the most important factors in successfully identifying reservoirs and estimating realistic reservoir parameters is to understand play characteristics within the associated geology. The first step is to identify geobodies with anomalous seismic behavior and then visualize them without any artifacts such as multiples, smiles or frowns resulting from migration anomalies, or offset gathers which are not flat, etc.
At each stage of the CO2 storage lifecycle, a model of the subsurface is required to understand critical factors such as seal and site capacity, plume migration and distribution, seal, and baffle capacity. These factors drive important decisions such as identifying and de-risking storage sites, injection strategies, surveillance and monitoring, and ultimately helps ensure injected CO2 remains trapped in the subsurface.
Prospect delineation is undoubtedly one of the biggest objects for every interpreter. Some seismic interpretation techniques such as seismic well tie, seismic attribute and Dynamic Framework to Fill (DFF) will be presented to assist in the delineate and volumetric calculation of these respective prospects.
Industry trends suggest that oil and gas companies continue to add more complex plays to their asset portfolios, as most of the simple oil traps have been discovered. This talk offers an example of interpretation, structural modelling and mapping with reverse faults using DecisionSpace® Geosciences software.
Hydrocarbon retention and migration in petroleum systems provide many opportunities for improvements in our workflows, understanding, and technologies. This webinar will discuss some common pitfalls in analyzing and modelling hydrocarbon retention and migration, while providing best practices based on real case studies.
The risks associated with subsurface characterization in frontier regions can be a barrier to operators, especially in the current evolving energy market. Establishing the fairway of a working source rock is critical to regional and basin scale screening workflows and to understanding risk and uncertainty. Neftex® Predictions and its integrated paleoclimate work can help address this significant subsurface challenge and keep frontier areas viable for exploration.
Digital transformation of Exploration & Production (E&P) data has the potential to save millions of dollars in costs, while enhancing productivity, by bringing greater accessibility to cross-functional teams through cloud-based solutions. However, the challenge lies in handling large volumes of seismic data that are still stored in legacy tape formats, disks, and software applications.
Cloud is increasingly being seen as a key enabler for Digital Transformation. Exploration & Production (E&P) companies who have already embraced Cloud are now reporting step change improvements in their business efficiencies and the agility to bring new innovations at speed and scale.
Integrating ever-growing quantities of complex E&P data efficiently and effectively remains a core challenge to the industry, and if left unaddressed, can compromise our ability to arrive at well-informed decisions in a timely manner.
This webinar is for both field development and enhanced oil recovery options for heavy oil fields. Do you face challenges developing and economically producing heavy oil fields?
The essential well construction E&P cloud applications that provides the best performance at the right price. We are pleased to announce our latest cloud offering, DecisionSpace 365 Essentials – Well Construction software. This integrated suite of cloud applications can help reduce your well preparation time, increase well reliability, and maximize well productivity while lowering your costs of ownership.
The essential geosciences E&P cloud applications that provides the best performance at the right price. We are pleased to announce our latest cloud offering DecisionSpace 365 Essentials – Geosciences. This integrated suite of cloud applications can modernize and revolutionize the way geoscientist and geologist work and can help to optimize returns from existing assets and replace your produced reserves.
In this webinar, we will show how Halliburton Landmark is leveraging the Open Subsurface Data Universe (OSDU™) platform along with DecisionSpace® 365 Software as a Service, to build and deliver advanced seismic data management solution workflows that overcome these challenges and enable companies to obtain the maximum benefit from the seismic data that they have available.
This webinar is for both field development and enhanced oil recovery options for heavy oil fields. Learn how Halliburton’s Agile Field Development workflow can help operators significantly streamline design and execution of heavy oil projects.
Please join us for this webinar where you will learn about Halliburton’s cloud ready next generation IM Platform, which provides scalable and cost-effective storage for massive amounts of data in practically any format and type. A platform that is compatible with Open Subsurface Data Universe™ (OSDU™) and help support the data-driven exploration and production decisions that you make every day, helping to uncover new opportunities.