Going Beyond Exploration
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Slide 1
- Title slide – the Alpha wildcat discovers oil!
- What happens next
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Slide 2
- Here is part of our exploration flow chart – up to making a discovery
- We Have:
- reviewed our Alpha prospect to management
- they approved the expenditure for a wildcat well
- we got a rig on-site to drill Alpha
- we waited expectantly for the well to reach our target depth
- the well encountered a thick oil-bearing interval – success!
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Slide 3
- Just as a reminder… here is our pre-drill assessment
- 51% chance to exceed the economic minimum
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Slide 4
- The well found oil down to a depth of 4500 meters – very close to our prediction
- The net-to-gross and porosity of the sand is slightly better than we predicted – great
- Our preliminary estimate is 325 MBO – our assessment was that there was a 20% chance to find this much
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Slide 5
- So what is next?
- Still within exploration, we would drill one or more confirmation (aka delineation) wells
- Before management approves $2 billion to build & install a platform, they want more proof that Alpha can make some money
- The exploration folks will work the details of where to drill – mainly to address the biggest uncertainties
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Slide 6
- 6 months later, a rig is on location to drill a second well
- The biggest uncertainty is how much oil is NE of the major fault
- We find the OWC is again at 4500 m – the fluids are in communication at a geologic time scale
- We also find the porosity is a little better at the delineation well – more good news
- Based on 2 wells, we revise the EUR (estimated ultimate recovery) to 34b MBO
- Now management is ready to move Alpha from the Exploration phase to the field Development phase
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Slide 7
- Given the results of the discovery and one delineation well, Alpha is turned over to Development
- In development, geoscientists are needed to answer questions such as:
- Can we …………
- Is the reservoir ……….
- How many ………………
- What sort ………….
- How can we ………………
- What uncertainties remains
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Slide 8
- To answer development questions, we need more detail on the reservoir, its properties, and the distribution of oil & gas
- We want to understand where to place wells to get the most for the least cost
- For exploration, we can live with a 'broad brush' picture of the reservoir
- For development, we need considerably more detail
- As shown on the right, we may drill some more wells during development – before placing a production platform
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Slide 9
- Why might they have drilled the western development well (#3)?
- Confirm the oil-water contact
- See if reservoir quality changed (better or worse) at the western edge of the field
- Why might they have drilled the eastern development well (#4)?
- The oil is isolated from the rest – probably have to develop as a separate compartment
- Is there enough oil to merit producing it – or is it cost-prohibitive
- See if reservoir quality changed (better or worse) at the eastern edge of the field
- If some big surprise occurs when drilling the development wells, it may be possible to cancel the development without too much loss
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Slide 10
- Data quality that was adequate for exploration may not be adequate for development issues
- The seismic data may need to be reprocessed – using more sophisticated, expensive, time-consuming methods
- We may have to reshoot a new survey to get acceptable data quality
- Data on the right is 'sharper' and has better vertical resolution (red & black bands are thinner -> more stratigraphic detail)
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Slide 11
- The development department has a platform built, installed, and start to produce oil at Alpha
- The initial production rates (barrels/day) are about what they predicted
- Now the field is turned over to the Production Department
- In production, geoscientists are needed to answer questions such as:
- How should we …………
- Can we ……….
- What about ……..
- Is there ………….
- Can we build …….
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Slide 12
- A very useful tool for production people is a reservoir simulation
- A detailed geologic model of the reservoir is built – rock type/lithology, porosity, permeability, etc.
- Then fluids are placed within each cell of the geologic model along with fluid properties
- The reservoir simulator models how the fluids move through time
- Until recently, the first simulation would be run after about 5 years of production time
- The simulation would be calibrated by doing a history match - comparing the simulated production (red curve) with the actual production data (blue boxes)
- If a reasonably good history match is obtained, the model is taken to be fairly accurate
- Then we can simulate future production – 10, 20, 30 years into the future
- We can do some 'what if' scenarios – e.g., if we placed 3 additional producers at these locations and 5 injectors at these locations, how much additional oil would we produce?
- If the cost of these 8 wells is less than the value of the additional oil, we might do it
- Obviously if the cost of the 8 additional wells would not be recovered, we would not do it – look for other 'profitable' scenarios
- We can also look for portions of the reservoir that are not swept of oil (in the simulations) and target these locations with additional wells – if profitable
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Slide 13
- So geoscientists can have great value to an energy company
- They can:
- Do work that leads to added HC reserves – making new discoveries, getting more from producing zones, or finding additional zones to produce
- They can get more reserves at lower costs
- Investing in ……
- Drilling in ………..
- Correctly assessing ………
- Avoiding …….
- For example, say that:
- I am on a team of 4 working production at the Alpha field
- The initial plan was to drill 10 wells
- Average cost for a well is $75 million
- Through our team effort, we determine that we can get the same amount of oil with only 8 wells drilled in more optimum locations
- The team of 4 saved the company $150 million (cost of 2 wells)
- That would be enough to pay each person for 50+ years – they have certainly earned their keep!
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Slide 14
- Let's go forward 5 years after the start of production (drawing fluids out of the reservoir)
- Our main objective is to maximize production while minimizing the costs
- We would build a computer model of the subsurface – with rocks and fluids
- We would simulate how each well would produce fluids over the 5 years of production
- We use the actual well production to calibrate the model (simulation)
- If we get the model to match actual production, we build confidence that the model is close to reality
- Then we can model production into the future
- With the model, we can test ideas such as "what if we add to producers at locations A, B and C and an injector at location Z?"
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Slide 15
- The subsurface (geologic model) is an integration of all geologic, geophysical, petrophysical and interpreted or conceptual information about the reservoir into a single 3D numerical description of that reservoir
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Slide 16
- Each cell in the model is assigned rock and fluid properties:
- Rock type (lithology)
- Porosity
- Permeability
- Fluid Saturation
- Water properties
- Oil properties
- Gas properties
- Etc.
- Cell size can vary depending on the field size, computing resources, etc.
- But they are typically about 50 to 100 m in X and Y and about 1 m in depth (Z)
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Slide 17
- The first task is to get a history match – a model (simulation) that matches the history of field production
- If this is done, then we start to model future production
- We can see the impact of using EOR – enhanced oil recovery methods
- Or of doing infill drilling
- The main question is will the cost of EOR and/or infill drilling going to result in enough extra production that the extra costs are more than recovered by the extra oil or gas to sell
