.... As the approach does not depend on geological reservoir description,we will not provide geological details. Selection of the well pattern is out of scope for this study. Figure 2 shows a schematical representation of the integrated VLP/IPR model for duplet system. Table 1 lists input model parameters...

... Abstract An approach that combines data-driven analysis and modeling was used to select the optimal mud motor power section tailored to specific drilling requirements. Additionally, a novel methodology was developed for estimating the CO 2 footprint of drilling operations based on operational...

... a Hybrid Methodology (HyM) combining the optimal features of model-based (MB) with DD approaches to select the best simulation models to make short-term decisions, effectively reducing uncertainty in short-term production forecasts for a real field. Using DD techniques, such as Transformers, we forecast...

... and organized into a tidy data set. This data set is then used for training a data-driven prediction or classification model. The training is achieved through a machine learning algorithm of choice, which must be carefully selected for the problem and the data set. Types of variables, number and variety...

... between the period after the end of the production history (516 days) and field abandonment (10,957 days). During this interval, a production strategy is selected for field development, with drilling, completion, and well-platform connection costs starting at 547, 577 and 1247, respectively. The interval...

... in exploration projects are outlined. An effective methodology is developed to optimize well placement and facility options in oil fields with multiple reservoirs. The optimized field development plan is selected for individual reservoirs from various well placements, well trajectories, injection strategies...

... decision variable asset and portfolio management upstream oil & gas representative model procedure ensemble search space production optimization practitioner waterflooding selection petroleum science optimization process production facility schiozer production strategy scenario...

.... Feature selection was conducted to identify the most relevant petrophysical logs and remove those that are considered less relevant. Three and four of the eight logs were sufficient, to reach optimum performance of porosity and saturation prediction, respectively. Porosity was predicted with R2 = 0.79...

... to all RM), (2) risk analysis, (3) select the strategy to develop the field based on risk analysis, and (4) estimate the EVoI. We evaluated the influence of the number of RM on these processes, observing the impacts on the results of reducing computational costs. For the EVoI, we applied a Complete...

... is the predicted value. Artificial Intelligence Upstream Oil & Gas data-driven method selection regression information machine learning classification data-driven technique optimization Petroleum Science decision tree prediction application reservoir Support Vector Machine Reservoir...

... and dynamic uncertainties remain. In this paper, an approach is presented for selecting an infill well portfolio of 10 wells from a total of 96 that explicitly accounts for these uncertainties. The geological uncertainty can be exposed by generating a multitude of geological models conditioned to known log...

... strategies optimized for extremely different scenarios. Our case study was the UNISIM-I-D, a benchmark reservoir model with a key structural uncertainty affecting production strategy selection. We used an appraisal well as an information source, and four hypothetical DMs with different attitudes. Our results...

... suitable candidates for gross increases. Therefore, in the pre-project phase, the following steps were undertaken to prove the feasibility of such a large-scale re-development: Two viable candidates were selected as pilot ESP wells to prove the concept. Lessons learned from these candidates provided data...

... Abstract This work describes a new methodology based on 12 steps for integrated decision analysis related to petroleum fields development and management considering reservoir simulation, risk analysis, history matching, uncertainty reduction techniques, representative models and selection...

.... The decisions around EOR deployment are diverse, including EOR process selection, wells placement, injection conditions and scheduling. Typical decision parameters are: incremental oil recovery, Net Present Value, injection cost and environmental impact. Full field incremental recovery and injection...

.... As the number of reservoir scenarios representing the problem can be high, the optimization process can be time consuming. Therefore, the selection of representative models is an important step of the methodology. The present study discusses the impact of the number of representative models on the expected...

... different global assisted history-matching algorithms. We describe the implementation of an integrated parameterization and optimization method, which was tested on the Brugge synthetic model (SPE benchmark case study), and the results based on the best selected method are applied to the Johnston gas field...

... Abstract The selection of production strategy under uncertainties is a complicated task due to the high number of variables and uncertainties. While new information aims to reduce the uncertainty of one or more variables, consequently reducing the risk, flexibility may be used to change field...

.... For illustration purposes, a selection of plays in Europe and North Africa are then canvassed, and results are presented and discussed. The proposed criteria and weights can be fully customised to honour stakeholders’ objectives and suit the focus of the current exploratory phase (from the high-level screening...

.... Several of these wells are inactive today but could be potential candidates for reactivation by reperforating prospective intervals. In several cases, the selection of the perforated interval for these reservoirs is considered inefficient because the effects of multiple dynamic and static petrophysical...